DevOps Engineer (Data & AI Platform)

Role Summary

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

• Build and operate infrastructure for data pipelines and AI/ML workloads
• Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
• Manage Infrastructure as Code (Terraform) across environments
• Support containerized workloads and orchestration (Docker, Kubernetes)
• Partner with Machine Learning teams and engineering to productionize models
• Implement monitoring, logging, and tracing for data flow and model performance
• Improve reliability, scalability, and cost efficiency of data systems
• Enforce security and access controls for data and infrastructure
• Reduce operational overhead through automation and tooling

Required Qualifications

• 3+ years of experience in DevOps, SRE, or infrastructure engineering
• End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
• Strong cloud experience (AWS preferred)
• Proficiency with Terraform (or similar IaC tools)
• Experience with Docker and Kubernetes
• Familiarity with CI/CD and Git-based workflows
• Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
• Programming/scripting (Python, Bash, or similar)
• Experience with observability tools and practices

Preferred Qualifications

• Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
• Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
• Experience with real-time or high-throughput data systems
• Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
• Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$1,124,480—$1,405,600 MXN

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world’s largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

We’re looking for a Senior Salesforce Developer to help scale and evolve our Go-To-Market systems and business operations. In this role, you’ll partner closely with Sales, Marketing, Customer Success, Finance, and Security teams to architect and deliver scalable Salesforce solutions that improve productivity, data quality, automation, and customer experience.

Responsibilities

• Design, develop, test, and deploy scalable Salesforce solutions across Sales Cloud, Service Cloud, and integrated third party systems.

• Lead the architecture and implementation of Salesforce customizations including Apex, Lightning Web Components (LWC), Flows, integrations, and platform automation

• Partner with stakeholders across GTM and Operations teams to gather requirements and translate business needs into technical solutions

• Improve and maintain Salesforce data architecture, security model, sharing rules, profiles, permission sets, and governance standards

• Build and support integrations between Salesforce and external platforms such as MuleSoft, NetSuite, CPQ, ERP, marketing automation, customer support, and data platforms

• Drive platform optimization, technical debt reduction, and continuous improvement initiatives

• Own the Salesforce DevOps and release management lifecycle while establishing engineering best practices, including Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, production change management, and technical documentation.

• Participate in roadmap planning and provide technical leadership for strategic Salesforce initiatives

• Manage Agentforce, Slackbot, AI skills, and other AI Salesforce offerings.

• Troubleshoot complex production issues and implement scalable long-term solutions

Qualifications

• 5+ years of hands-on Salesforce development experience in enterprise environments

• Deep expertise with Apex, Lightning Web Components (LWC), SOQL/SOSL, Salesforce APIs, Flow automation, and platform security

• Experience designing and implementing integrations using MuleSoft

• Familiarity with NetSuite and quote-to-cash business processes strongly preferred

• Strong understanding of Salesforce DevOps and CI/CD practices

• Experience working with Agile development methodologies

• Strong analytical, communication, and problem-solving skills

• Experience working in high-growth SaaS or technology companies preferred

Nice to Have

• Salesforce Platform Developer I or II certification

• Experience with Salesforce CPQ and billing systems

• Experience with RevOps or quote-to-cash processes

• Familiarity with data warehousing, analytics, or AI-driven workflows

• Experience supporting global sales organizations

What to Expect

First 30 days:

• Familiarize yourself with the Salesforce team, instance, code base, best practices, design principles, and deployment methodologies.

• Engage with Product teams for deliverables to prioritize projects

• Introduce yourself to the cross functional teams the Salesforce team

First 90 days:

• Dive Deep into the technology architecture to evaluate performance and refactor code

• Engage with our Technical Architect and System Administrators on pain points to identify solutions

• Continue to build on best practices to make our instance performant, secure, and scalable

One Year Outlook:

• Deliver to project requirements independently

• Develop and grow your skill set and career as you become the subject matter expert in our Salesforce instance

• Own the Salesforce ecosystem as it relates to third party tooling, integrations, dependencies, and other upstream/downstream systems.

Docker does not offer visa sponsorship for this role.

Perks

• Freedom & flexibility; fit your work around your life

• Designated quarterly Whaleness Days plus end of year Whaleness break

• Home office setup; we want you comfortable while you work

• 16 weeks of paid Parental leave (after 6 months of employment)

• Technology stipend equivalent to $100 USD net/month

• PTO plan that encourages you to take time to do the things you enjoy

• Training stipend for conferences, courses and classes

• Equity; we are a growing start-up and want all employees to have a share in the success of the company

• Docker Swag

• Medical benefits, retirement and holidays vary by country

• Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

#LI-REMOTE

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world’s largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

Docker’s long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.

The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.

About the role

We’re hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. You’ll work directly with the team’s first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: you’ll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.

Responsibilities

• Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.

• Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.

• Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.

• Set technical direction for the team’s ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.

• Help recruit, mentor, and shape the team as it grows.

• This role may require participation in a 24⁄7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate

Qualifications

• 5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.

• 8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

• You’ve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.

• You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they can’t, and when to combine the two.

• Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.

• Familiarity with the agent / MCP ecosystem.

• You’re energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.

• Collaborative and low-ego. You work well across teams, write clearly, and bring others along.

Docker considers visa sponsorship on a case-by-case basis based on business needs.

Perks

• Freedom & flexibility; fit your work around your life

• Designated quarterly Whaleness Days plus end of year Whaleness break

• Home office setup; we want you comfortable while you work

• 16 weeks of paid Parental leave (after 6 months of employment)

• Technology stipend equivalent to $100 USD net/month

• PTO plan that encourages you to take time to do the things you enjoy

• Training stipend for conferences, courses and classes

• Equity; we are a growing start-up and want all employees to have a share in the success of the company

• Docker Swag

• Medical benefits, retirement and holidays vary by country

• Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

#LI-REMOTE

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space - and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology stack: We build cloud solutions using C#, .NET Core, Typescript, React, MSSQL Server, Azure, Python, MongoDB, Redis, Docker, Kubernetes, Grafana and more. We also offer the opportunity to work on complex architectures and technology stacks, as well as a global AI-powered tech product vision, supported by the use of multiple AI tools and accelerators. We use Agile to organize our teams and would love to onboard people who can contribute across product discovery, delivery, optimization, QA, DevOps, and Continuous Integration.

Key Responsibilities:

• Design and develop efficient, production-ready backend services – Transform prototypes and specifications into robust, scalable Python microservices that meet quality standards, performance requirements, and monitoring best practices

• Collaborate with data scientists and analysts – Act as a technical implementation partner, taking research prototypes and converting them into production-grade code with proper testing, error handling, and observability

• Maintain existing microservices – Investigate production issues, implement fixes, and enhance monitoring capabilities across the freight solutions backend ecosystem

• Ensure code quality and best practices – Write well-tested, documented code following software engineering standards; conduct code reviews and establish quality benchmarks for the team

• 3+ years professional software engineering experience

• Strong CS fundamentals (data structures, algorithms, system design)

• Python / FastAPI for server-side development

• SQL database experience

• Docker, Kubernetes, and CI/CD pipelines

• Strong debugging and problem-solving abilities

• Effective use of AI tools in development workflow

• Excellent English communication (written & verbal)

• Comfortable with ambiguity and changing requirements in an experimental environment

Nice-to-have Skills:

• C# / .NET

• Experience working in Data Science or Data Engineering teams

• Generous compensation with additional performance incentives.

• Coverage under the company’s collective health insurance plan.

• Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.

• Signal’s hybrid work policy currently includes 9 on-site working days per month, during which our happy hour events take place.

• 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.

• Career growth opportunities and a structured development discussion every 4 months.

• Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).

• Regular team bonding events and activities.

• Fitness benefits to support your health and wellbeing

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In

• Real platform work in biometric health technology, not toy internal tools.
• Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
• Mentorship from senior technical leaders while still owning meaningful build work.
• A lean startup environment where strong early-career engineers can grow quickly.
• Remote/distributed setup, with Austin / San Antonio preferred but not required.
• $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.

What You Will Do

• Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
• Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
• Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
• Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
• Ship clean, reliable code in a compliance-aware environment.
• Debug production-adjacent issues, reason through data flow, and improve the platform over time.
• Move quickly without waiting for every detail to be prescribed.

What You Bring

• Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
• Strong Python or Go skills.
• Experience building backend services, APIs, SDKs, or data pipelines.
• Practical frontend experience, especially JavaScript or TypeScript.
• Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
• Comfort working in a lean startup where priorities move quickly.
• Ability to communicate tradeoffs clearly and learn from senior engineers.
• Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have

• Depth across both Python and Go.
• AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
• Health tech, wearables, biometric data, IoT, or device-connected software experience.
• HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
• Austin, San Antonio, or broader Texas location.
• Strong science, engineering, computer science, or systems-oriented background.

What Success Looks Like

• You learn the existing platform quickly and start shipping useful work.
• You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
• You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
• You write code that is simple, testable, and maintainable.
• You grow quickly with mentorship while still taking real ownership.
• You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.

Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

Apply Now

Apply now and get a response within 24 hours.

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space - and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Senior Full Stack Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

We build cloud solutions using C#, .NET Core, TypeScript, React, MSSQL Server, Azure, Python, MongoDB, Redis, Docker, Kubernetes, Service Fabric, Grafana and more. We also offer the opportunity to work on state-of-the-art architectures and technology stacks, as well as a global, Artificial Intelligence-powered technology product vision. We use Dual-track Agile to organize our teams and are looking for people who can contribute across product discovery, delivery, optimization, QA, DevOps, and Continuous Integration.

• Master’s or Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

• 5+ years of experience developing real-world web applications of medium-to-large scale and complexity.

• Demonstrable React, JS/TS, HTML, and CSS experience.

• Solid experience with C#, .NET Core (or similar frameworks), and SQL.

• Active interest in staying up to date with the latest frameworks and libraries.

• Knowledge and active interest in Design Patterns and SOLID architecture principles.

• Familiarity with Azure or other cloud platforms including configuration management.

• Ability to understand business needs quickly and create relevant UI prototypes and proofs of concept.

• Experience with Agile/SCRUM.

• Experience building and consuming RESTful APIs.

• Understanding of unit testing and experience writing tests.

• Ability to work effectively with remote teams.

• Positive, collaborative approach to work and a strong sense of ownership and accountability.

• Generous compensation with additional performance incentives.

• Coverage under the company’s collective health insurance plan.

• Opportunity to work alongside experienced professionals with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.

• Signal’s hybrid work policy currently includes six on-site working days per month, during which our happy hour events take place. Starting January 2026, we’ll transition to a hybrid setup with nine on-site days per month.

• 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.

• Career growth opportunities and a structured development discussion every 4 months.

• Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).

• Regular team bonding events and activities.

• Fitness benefits to support your health and wellbeing

All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.

We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Staff Software Engineer on our Self-Hosted team, you will own the architecture of SentinelOne’s self-hosted (on-prem) Endpoint Protection platform across multiple teams — a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we don’t operate ourselves, and influence the engineering roadmap for the product line. You are a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.

What Will You Do?

Primary responsibilities include:

• Own and evolve the architecture of the self-hosted platform across multiple teams — backend services, data pipelines, control logic, and the deployment topology shipped to customers (containerized microservices on bare metal, delivered as an appliance/OVA) — and implement improvements to existing architecture.
• Set the standard for high availability and resilience in customer-controlled deployments: clustering, replication, failover, consensus/leader election, and graceful degradation across single-node and multi-node topologies, and drive infrastructure cost analysis and optimization.
• Define scalability and capacity-planning strategies that hold across a wide range of customer scale and hardware, and establish frameworks for performance, observability, and operational excellence in constrained and air-gapped environments.
• Lead the translation of SaaS/cloud-native capabilities into on-prem architecture, refine vaguely specified complex requirements into robust, future-proof end-to-end designs, and define coding patterns and standards that span multiple teams.
• Influence the engineering roadmap, drive medium-to-large initiatives that span teams, mentor staff and senior engineers, and act as a cross-team technical authority sought out to review the work of others.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• A degree in Computer Science or Software Engineering, or equivalent experience, with roughly 8+ years of related experience and deep hands-on expertise in Go and/or Python across technologies such as PostgreSQL, MongoDB, Redis, Kafka, Docker, and Linux.
• Extensive, proven experience designing and delivering on-prem / self-hosted / customer-deployed software, including packaging and lifecycle for customer-controlled environments (appliance/OVA, bare-metal or containerized deployments, upgrades, and air-gapped or restricted networks).
• A strong track record architecting distributed systems for high availability and fault tolerance in on-prem / customer-controlled deployments — replication, clustering, failover, consensus/leader election — and being recognized as a subject-matter expert in one or more of these areas.
• Deep command of scalability and performance in on-prem deployments: horizontal/vertical scaling, sharding/partitioning, load balancing, capacity planning, and evaluating technology trade-offs and costs across customer-controlled hardware and environments.
• The ability to take vaguely specified, complex requirements and create efficient, robust, future-proof end-to-end designs across teams; experience influencing a roadmap and leading multi-team designs; and excellent communication and mentoring skills. Experience with security products is a strong advantage.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave

Insurance & Financial Security

• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$184,000—$253,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.

We are seeking a Staff System Architect who will define and drive system-wide architectural direction. In this role, you will own the technical strategy for the backend of our clinical platform, ensuring it is scalable, secure, and built to support HeartFlow’s mission for the long term.

We aren’t just looking for an engineer; we are looking for a systems thinker who can shape architectural standards across teams, align technical direction with business strategy, and ensure our platform is built for the long term. You will work at the intersection of complex medical data and organizational scalability, ensuring our systems are robust, secure, and ready for growth

Job Responsibilities

• Define and own the system architecture strategy impacting multiple engineering teams, establishing standards and patterns that scale across the HeartFlow platform
• Technical Strategy: Partner with Product, Engineering, and executive leadership to translate organizational goals into multi-year architectural roadmaps and actionable work items.
• Define, enforce, and evolve engineering best practices, tooling standards, and architecture patterns.
• Establish and govern security architecture standards across the platform, including authentication, authorization, access control, and data integrity
• Make cross-cutting architectural decisions spanning and services, balancing performance, security, scalability, and long-term maintainability
• Identify technology risks and dependencies early to establish mitigation plans
• Mentor and develop senior and staff engineers; serve as a technical multiplier by raising the architectural bar organization-wide
• Lead and own security architecture reviews and compliance strategy, ensuring platform-wide adherence to regulatory and security standards
• Define and oversee authentication and authorization architecture. Ensure all engineering practices across teams adhere to FDA regulations and HIPAA standards for medical software.
• Represent engineering architecture in cross-functional leadership forums; communicate technical strategy and trade-offs clearly to executive and non-technical stakeholders across Product, Strategy, Operations, and Regulatory

Qualifications required

• Education: Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent experience.

• Experience: 15+ years of relevant industry experience, including significant time in senior or staff-level roles with cross-team architectural responsibility

• Technical Proficiency:

  • Deep expertise across system design, cloud-native architectures, and distributed systems; broad familiarity with backend technologies (e.g., Python, Java), database technologies (SQL, NoSQL), and cloud platforms (AWS)

• Project Experience:

  • Strong expertise in distributed systems and microservices architecture
  • Demonstrated experience designing and delivering large-scale, secure distributed systems and platform architectures with measurable cross-team impact

• Leadership Skills: Proven experience setting technical vision and architectural standards; track record of mentoring senior engineers and influencing engineering culture organization-wide.

• Methodologies: Experience with Agile development methodologies and project management tools.

• Security Knowledge: Strong understanding of web and OWASP security best practices.

• DevOps: Experience with DevOps best practices (e.g., CI/CD pipelines).

• Regulatory Understanding: Experience with or demonstrable experience with FDA regulations and compliance requirements for medical software.

• Collaboration: Demonstrated ability to work in a fast-paced, collaborative environment.

How you stand out

• Deep hands-on experience with AWS infrastructure and infrastructure-as-code tooling
• Experience leading enterprise identity and security architecture, including OpenID, OAuth2, SAML, and zero-trust patterns
• Experience as a technical leader in medical device software or other FDA/HIPAA-regulated environments

A reasonable estimate of the base salary compensation range is $200,000 to $275,000, plus bonus and equity. #LI-Hybrid

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

Opportunity Overview:

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.

We are seeking a Senior Software Engineer to join our Engineering team. In this role, you will build and operate mission-critical healthcare technology that powers prior authorization for health plans covering 15+ million members. You’ll work across the full stack — backend services, event-driven pipelines, and provider-facing web applications — to deliver systems that healthcare practitioners and clinical operations teams depend on daily. You’ll partner closely with product, design, clinical, and platform teams to ship high-quality software in a complex, multi-tenant healthcare environment. This is an opportunity to solve distributed systems problems where engineering quality directly impacts patient access to care.

What you’ll do:

• Own epic-level efforts end-to-end — from technical design and milestone decomposition through implementation, testing, and production deployment
• Design, build, and maintain services and applications across the full stack: backend (Java, Groovy/Grails), frontend (React, TypeScript), data (MongoDB), and event-driven messaging (Kafka)
• Proactively identify systemic technical risks including performance bottlenecks, reliability gaps, data consistency issues, and accumulated technical debt — proposing and executing solutions
• Evaluate technical approaches through design docs, pilots, and experiments — documenting decisions, tradeoffs, and outcomes to inform team direction
• Mentor engineers through code reviews, design discussions, and pairing — fostering a culture of ownership, learning, and technical excellence
• Lead technical design discussions, bringing data-driven analysis and written tradeoffs to resolve ambiguity and align cross-functional stakeholders
• Ensure launch readiness for your epics — comprehensive testing, rollout strategy, monitoring, and rollback plans — coordinating across teams when dependencies exist
• Collaborate with cross-functional teams (product, design, clinical, platform) to deliver high-quality experiences while balancing quality, delivery timelines, and operational constraints

What you’ll need:

• 5+ years of professional software engineering experience with increasing scope and ownership
• Strong backend development experience using Java or Groovy, including designing and operating production-grade services
• Experience building modern web applications with React, JavaScript, and TypeScript
• Hands-on experience with NoSQL data stores (e.g., MongoDB), including schema design and query optimization
• Demonstrated ability to own and deliver epic-sized efforts — decomposing work into milestones, leading execution, and shipping with design-doc quality
• Experience building systems that integrate with external partners or upstream data sources, including APIs and event- or message-driven workflows (Kafka or similar)
• Proficiency with modern development practices including version control (Git), automated testing, and CI/CD pipelines
• Strong collaboration skills and ability to work effectively across team boundaries with product, design, and engineering partners
• Proven ability to mentor other engineers and elevate team quality through reviews and technical guidance
• Bachelor’s degree in computer science, software engineering, or equivalent practical experience
• Experience in healthcare or life sciences industry, plus
• Familiarity with healthcare interoperability standards (FHIR, HL7), plus
• Experience with multi-tenant systems handling client-specific configurations at scale, plus
• Experience with API decomposition or monolith-to-services migration patterns, plus
• Hands-on experience with test frameworks such as Cypress, Playwright, JUnit, or Jest, plus
• Familiarity with cloud platforms (AWS) and distributed systems at scale, plus

Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program

📈 401K retirement plan with company match; flexible spending and health savings account

🏝️ Flex Time Off + company holidays

👶 Up to 14 weeks of paid parental leave

🐶 Pet insurance

The salary range for this position is $128,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Meet your Hiring Manager!
3. Feature Design
4. System Design
5. Behavioral Interview(s)

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

#LI-Remote

#BI-Remote

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

The Observability Platform team is seeking a Senior Manager of Engineering to build and lead a centralized platform capability that gives Smartsheet full-stack visibility into our most complex and consequential systems. This role owns the engineering strategy and execution for a dedicated platform consolidating multiple platforms, serving engineering teams across the company, including the Data & AI Platform, Commerce, and Infrastructure pillars.

You will lead a team based with strategic ownership spanning metrics, distributed tracing, alerting, log analytics, SLO/SLA management, and AI/ML observability integrations tied to SmartAssist and our agentic AI workstreams on Amazon Bedrock and MLflow. This is a high-leverage, high-visibility role at the intersection of platform reliability and AI-native engineering.

You Will:

Team & Platform Leadership

• Lead a team of engineers focused on observability platform engineering, driving build-out of a unified observability stack used by all engineering teams at Smartsheet.
• Own and evolve the platform’s technical roadmap, consolidating multiple tooling platforms, and AI observability tooling into a coherent, scalable capability.
• Define platform standards, contribute to architectural direction, and ensure the team operates with engineering rigor and strong operational habits.
• Build and scale the team, hiring senior engineers and establishing effective global practices across distributed stakeholders.

Observability Engineering

• Lead design and delivery of centralized observability infrastructure covering metrics pipelines, distributed tracing, alerting frameworks, and log analytics across Smartsheet services.
• Drive SLO/SLA definition and tooling for platform-wide reliability visibility, partnering closely with infrastructure, platform engineering, and on-call teams.
• Own governance including instrumentation standards, cost optimization, and rollout of advanced capabilities such as APM, RUM, and custom dashboards.
• Lead architecture, scaling, and operational practices for log analytics across high-throughput production workloads.
• Establish shared observability libraries, agents, and SDKs that reduce instrumentation burden for application engineering teams.

AI Observability

• Build and maintain AI/ML observability integrations in partnership with the AI Platform team.
• Partner with the Data & AI Platform team to integrate MLflow tracing, Inference Tables, and LLM-as-judge evaluation pipelines into the observability stack.
• Develop dashboards and alerting for agentic AI workloads, including latency, token consumption, error rates, and evaluation metric drift.
• Contribute to the AI governance and cost observability program, providing telemetry for model usage, cost attribution, and compliance reporting.

Cross-Functional Partnership & Execution

• Serve as the primary engineering partner for platform consumers across Data & AI, Commerce, Infrastructure, and Security teams, ensuring observability needs are met across workstreams.
• Lead complex, cross-functional observability projects with high ambiguity, managing delivery risk, communicating clearly to senior stakeholders, and building alignment across teams.
• Partner with delivery partners to coordinate instrumentation across platform modernization and migration workstreams
• Contribute to quarterly and annual platform goals, reporting on key reliability and observability metrics to engineering leadership.
• Communicate platform status, risks, and roadmap progress to Engineering leadership and above audiences in a clear, executive-ready format.

Operational Excellence

• Embed on-call culture and incident management discipline into the team, ensuring clear runbooks, fast MTTR, and post-incident learning loops.
• Drive cost governance for observability tooling, including spend optimization and efficient resource management.
• Champion AI-assisted engineering practices within the team, applying tooling and automation to reduce toil and accelerate delivery.

You Have:

Required

• 10+ years of software or platform engineering experience, with strong fundamentals in distributed systems, infrastructure, and backend services.
• 3 years of engineering management experience, including direct team building, performance management, and cross-functional delivery ownership.
• Deep hands-on expertise with observability tooling: Datadog (APM, metrics, logs, alerting), OpenSearch or Elasticsearch, distributed tracing (OpenTelemetry or equivalent), and SLO/SLA management at scale.
• Proven experience operating observability platforms for high-availability, high-throughput production environments.
• Experience building and scaling engineering teams in distributed or international focus
• Strong execution track record on complex, cross-functional infrastructure programs with high ambiguity.
• Clear, direct communication (written and verbal) with both technical and non-technical audiences, including leadership and executive stakeholders.
• Proactive risk identification and status communication without prompting.
• Experience managing vendors, external delivery partners, and third-party integrations in a platform context.

Preferred

• Hands-on experience with AI/ML observability: MLflow tracing, LLM evaluation pipelines, or observability for agentic AI systems.
• Familiarity with Amazon Bedrock, ECS Fargate, or LangGraph-based multi-agent architectures.
• Experience with cloud cost governance and FinOps practices for observability tooling
• Exposure to data platform observability and data quality monitoring in a lakehouse context
• Experience establishing internal developer platforms, shared libraries, or platform-as-a-service offerings for application teams.
• Prior work in SaaS environments with enterprise compliance requirements (SOC 2, FedRAMP, HIPAA).

Education & Eligibility

• CS, Engineering, or equivalent degree, or commensurate practical experience.
• Legally eligible to work in the U.S. on an ongoing basis

Current US Perks & Benefits:

• Employer subsidized medical/vision and dental coverage for full-time employees
• 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
• Monthly stipend to support your work and productivity
• Flexible Time Away Program, plus Sick Time Off
• US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
• US employees receive 12 paid holidays per year
• Up to 24 weeks of Parental Leave
• Personal paid Volunteer Day to support our community
• Opportunities for professional growth and development including access to Udemy online courses
• Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
• Teleworking options from any registered location in the U.S. (role specific)

Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.

US Base Salary Pay Range

$205,000—$275,000 USD

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

#LI-Remote

Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes. Since our founding in 2019, over 500 partners—a range of nonprofit organizations, national political committees, and individual campaigns—have utilized Civitech’s tools to reach tens of millions of voters to help create a more equitable and progressive democracy.

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO, DC, DE, FL, GA, HI, IL, MA, MD, MN, NC, ND, NH, NJ, NV, NY, OH, SD, TN, TX, VA, WA, WI, WY). We maintain a physical co-working and collaboration headquarters in Austin, TX.

It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQIA+ people, and others otherwise underrepresented in the technology sector to apply.

Our Core Values

• We act with Integrity – At Civitech, we hold ourselves to the highest standards and value open and transparent communications with all of our stakeholders. Our rigorous approach to product design, testing, and data science leads to accurate assessments of our outcomes and challenges us to constantly improve our tools.

• We are Changemakers – As a team, Civitech seeks to make transformational change in our democracy by eliminating obstacles meant to hamper contribution from every member of the community.

• We are Collaborators – Buoyed by our mission, we look for opportunities to partner with everyone committed to making democracy easier to participate in. We seek to understand the challenges our partners face and use our skills and creativity to help them solve them.

• We are Bold – We recognize that disruptive change won’t come with doing business as usual. Civitech seeks to revolutionize civic participation by bringing innovation and creativity to politics.

Role Overview:

The Engineering team builds scalable, secure, and user-friendly applications that empower progressive organizations, drive civic engagement, and promote democratic participation. We work closely with product and data teams to deliver impactful solutions.

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team’s Engineering Manager. This team focuses on:

• Tools used by our research team to collect and maintain civic and constituent data, including geographic and boundary data.

• Our GraphQL API product, used both internally and externally.

• Data export products that provide civic data to customers.

• Data engineering for our Voter Registration Mail product.

Our work spans backend-heavy data products and internal UI tools where reliability is critical. A core challenge lies in evolving our API and data export offerings, thoughtfully advancing functionality and the developer experience while maintaining stability across existing contracts.

What You Will Do

• Participate with other engineers in the design, implementation, and maintenance of Civitech’s applications and infrastructure.

• Collaborate cross-functionally with product, research, and data science teams to develop features from participation in requirements definition through to testing and documentation.

• Build scalable, secure, and high-performing features in a cloud environment.

• Communicate effectively with team members and contribute to an open and inclusive engineering culture.

• Grow your technical skills and contribute to effective team development practices.

If you were here today, you’d be:

• Optimizing data availability: Developing new features to automatically make election research data available in our customer-facing tools, reducing latency to our end users.

• Building data pipelines: Developing and maintaining pipelines that ingest, normalize, and serve civic data so it’s reliably available to our tools and customers - including geospatial data like shapefiles and political boundary files.

• Bridging data silos: Designing strategies to effectively and broadly share data between operational PostgreSQL databases and BigQuery data warehouses to enrich existing datasets.

• Working with political geography: Reconciling census shapes against political shapes (precincts, council districts, legislative districts) and keeping that data current as new maps move through legislatures and the courts.

• Improving data quality: Diagnosing and fixing bad data - from malformed geometries to inconsistent identifiers - so downstream tools and customers get reliable results.

About You:

• You have 3–5 years of software engineering experience.

• You thrive in a fast-paced startup environment, enjoy building software for the public good, and are passionate about democracy, civics, and politics.

• You are strong in Python, especially for data pipelines, scripting, and automation.

• You’re comfortable working across the stack and picking up other languages and frameworks as needed - our applications are built largely in Ruby on Rails and JavaScript/TypeScript.

• You have experience working with cloud environments, particularly Google Cloud Platform or AWS; experience with Azure is also valuable.

• You are skilled in facilitating collaboration between engineers and with partner teams.

• You are experienced with identifying issues and helping to develop solutions, including diagnosing and fixing data quality problems.

• You are used to being actively engaged in planning the team’s work via backlog refinement, helping to write user stories, etc.

• You are practiced with written and verbal communication that helps make complex code accessible.

• You prioritize writing maintainable and well-documented code.

• You demonstrate the ability to effectively give and receive constructive feedback, especially with other engineers.

Additional qualifications (need some but not all): Our current work benefits from the below. Please keep in mind that you do not need to bring expertise in all of these to be the right candidate for this role.

Specialty: Geospatial & Political Data

This role has a particular focus on geospatial and political data, so experience in any of the following is a strong plus:

• Hands-on experience with geospatial data - shapefiles, GeoJSON, projections/coordinate systems, and spatial joins.

• Experience with geospatial libraries and tooling (PostGIS, GeoPandas, Shapely, GDAL/OGR, Fiona, etc.).

• Familiarity with political geography: precincts, city council and county districts, and state/federal legislative districts.

• Understanding of how census geographies differ from political boundaries, and the challenges of mapping between them.

• Awareness of the current redistricting landscape and how court-ordered and legislative map changes affect downstream data.

Domain Knowledge

• Understanding of U.S. elections administration and/or campaign operations.

Engineering Expertise

• Proficiency in Python for scripting, automation, or data-related tasks.

• Proficiency in JavaScript/TypeScript (used within and without Rails).

• Knowledge of building and maintaining Ruby on Rails applications, including performing upgrades, using GraphQL-Ruby, Turbo/Stimulus, Rspec, etc.

• Understanding of API design, development, and usage, especially GraphQL APIs.

• Experience contributing to automated test suites and ensuring robust coverage.

Systems and Data

• Expertise in PostgreSQL (with PostGIS for geospatial data).

• Experience working with cloud data warehouses, particularly BigQuery.

• Knowledge of building scalable data pipelines with dbt.

• Knowledge of scaling and high-availability techniques.

Infrastructure

• Experience maintaining infrastructure hosted on AWS or GCP.

• Experience with continuous integration and deployment (CI/CD) tools, especially GitLab CI and/or GitHub Actions.

• Familiarity with Terraform for Infrastructure-as-Code.

Why Work At Civitech?

• Medical, Vision, & Dental Insurance

• 401(k) plan

• Employee Stock Options

• Employer-paid Life Insurance

• Short/Long Term Disability Insurance

• Flexible Time Off & Paid Company Holidays

• Flexible Spending Account

• Parental Leave

• Flexible Schedules

• Professional Development Stipend

• Monthly Office Upkeep Stipend

$90,000 - $120,000 a year

Status: Full-time

Civitech is unable to provide visa sponsorship at this time; all applicants must possess independent US work authorization.

Civitech utilizes E-Verify to verify eligibility to work in the United States. This verification step occurs strictly after a formal offer has been extended and accepted, following the completion of Form I-9. Please find more information about our participation in this program here.

Civitech provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or protected veteran status, in strict accordance with federal, state, and local compliance standards.

No recruiters or external staffing agencies, please.

Who We Are

Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24⁄7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity.

What You’ll Do

• Feature and bug fix testing on both web and mobile

• Automated test case writing within Reflect.run

• Test plan development in collaboration with a cross-section of engineers

• Managing project ticketing workflow within Jira digesting stories and issues, prioritizing, and communicating severity

• Executing and managing automated tests

• Using TestFlight and Play Store for mobile testing

• Partnering with product/customer support to help triage and prioritize issues

• Shepherd releases, coordinating readiness across teams

• Stay up to date with emerging trends, tools and technologies in mobile application testing

What You Bring & How You Qualify

First and foremost, you’re passionate and committed to reimagining pediatric health care and creating a world where every child with complex medical conditions gets the care and support they deserve. In this role, you will need:

• 5+ years of QA engineering experience, including hands-on feature and regression testing across web and mobile platforms, automated test development, and active participation in Agile release cycles from test planning through production deployment

• Able to work independently and be flexible with changing priorities and simultaneous projects; successful in an Agile development cycle

• Strong cross-functional collaborator, with a track record of partnering with engineering, product, UX, and customer support teams to define test plans, triage and prioritize issues, and coordinate release readiness across stakeholders

• Experience in certifying and driving consistent releases and delivering within short release cycles

• Strong analytical skills, detailed and process-oriented; ability to clearly define test cases and document corner cases and dependencies others would not think of

• Excellent written and verbal communication skills to effectively engage and collaborate with developers, UX, product owners, and stakeholders

• An informed perspective of the value of different levels of tests

• Expert knowledge of project, code and test management tools: JIRA, Confluence, Githubx

• Comfortable debugging web and mobile application failures, triaging tickets with internal stakeholders and communicating these failures upstream

• Experience working with product/customer support tickets

• Experience testing a healthcare product required, EHR product experience preferred

What We Offer (Benefits + Perks)

The role offers a base salary range of $100,000 - $130,000 in addition to annual bonus, competitive company benefits package and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary.

We provide these additional benefits and perks:

• Competitive medical, dental, and vision insurance
• Healthcare and Dependent Care FSA; Company-funded HSA
• 401(k) with 4% match, vested 100% from day one
• Employer-paid short and long-term disability
• Life insurance at 1x annual salary
• 20 days PTO + 10 Company Holidays & 2 Floating Holidays
• Paid new parent leave
• Additional benefits to be detailed in offer

What We Live By

We’re guided by our five core values:

Our Values:

• Children First. We put the best interests of children above all. We know that the right decision is always the one that creates more safe days at home for the children we serve today and in the future.
• Earn Trust. We listen first, speak second. We build lasting relationships by creating shared understanding and consistently following through on our commitments.
• Innovate Today. We believe that small improvements lead to big impact. We stay curious by asking questions and leveraging new ideas to learn and scale.
• Embrace Humanity. We lead with empathy and authenticity, presuming competence and good intentions. When we stumble, we use the opportunity to grow and understand how we can improve.
• One Team, Diverse Perspectives. We actively seek a range of viewpoints to achieve better outcomes. Even when we see things differently, we stay aligned on our shared mission and support one another to move forward — together.

We Value Diversity, Equity, Inclusion and Belonging

We believe that creating a world where every child with complex medical conditions gets the care and support, they deserve requires a diverse team with diverse perspectives. We’re proud to be an equal opportunity employer. People seeking employment at Imagine Pediatrics are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

About Pluribus Digital

Join us and do work that matters: use your skills to improve how your government serves the public! Pluribus Digital partners with our government customers to design, develop, and deliver useful and impactful digital products. We are a hands-on digital services consultancy – part technologists, part change agents, and all heart.  We employ modern best practices in all that we do as we work to solve problems in public health, financial industry regulation, granting citizenship and asylum, and identity and access management.

About the Role

As a Senior Full Stack Engineer you will design, develop, and deliver high-quality software solutions that align with business goals as part of a broader legacy modernization initiative. This role focuses on full-stack software development across backend and frontend systems, supporting the transition from monolithic architectures to modern, cloud-ready services. You will collaborate closely with technical leads, Agile teams, and product owners to deliver secure, maintainable, and high-quality software in an Agile environment.

What you will do:

Full-Stack Development

• Design, develop, and maintain production-quality backend and frontend components
• Build APIs, business logic, data access layers, and user interfaces
• Implement new features while refactoring legacy functionality
• Write unit, integration, and regression tests to support safe delivery

Legacy Modernization

• Refactor legacy Java applications (e.g., Struts/JBoss) into Spring Boot services
• Support decomposition of monolithic systems into modular services
• Maintain data integrity and backward compatibility during phased modernization
• Diagnose and resolve defects in complex legacy codebases

Backend Engineering

• Develop RESTful APIs using Java and Spring Boot
• Implement data access with Hibernate/JPA
• Support database modernization, schema evolution, and data migration
• Apply consistent logging, error handling, and observability practices

Frontend Engineering

• Build and maintain Angular applications using TypeScript
• Implement responsive UI behavior and secure backend integration
• Collaborate with UX and backend teams on API contracts and user experience

Security & DevOps Integration

• Implement authentication and authorization using IAM solutions (e.g., Keycloak)
• Apply OAuth 2.0 / OpenID Connect and role-based access control
• Build with CI/CD, containerization, monitoring, and production readiness in mind
• Collaborate with DevOps teams on deployment and operational support

Agile Collaboration

• Participate in sprint planning, refinement, estimation, and retrospectives
• Contribute to code reviews, documentation, and knowledge sharing
• Communicate progress, risks, and technical challenges clearly
• Understand business goals and drivers and translate those into an appropriate technical solution.
• Support the full SDLC—from requirements and estimation through deployment, monitoring, and documentation.
• Continuously learn and apply new tools/techniques to improve performance, automation, and scalability.

What you will bring:

• Ability to obtain and maintain a Public Trust clearance.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of professional software development experience as an individual contributor
• Java expertise (most important) with strong hands-on experience in Spring Boot.
• Experience building and consuming RESTful APIs; proficient with JUnit or similar testing frameworks.
• Working experience with Angular (v2+) and TypeScript for integrating front-end features with back-end services.
• Relational database skills with PostgreSQL and/or Oracle (SQL, schema design, troubleshooting).
• Proficiency with Git and work tracking in Jira; strong collaboration and communication skills.
• Demonstrated ability to conduct code reviews, uphold code quality, and apply/receive coaching to improve team practices.
• Proven problem-solving skills, proactive risk identification, and clear communication to diverse audiences.

Why Pluribus May Be a Fit for You

• We are purpose driven. We support missions and products that serve the public good, and where our focused capabilities positively impact those mission outcomes. We bring a consultative approach to partner with our government customers and help them succeed as change makers.
• Pluribus is a calm company. We are knowledge workers. People do their best work when they are not rushed by artificial urgency or drained by a culture of facetime and workaholism. By having confidence in our people, we can get more done at better quality. When real crunch time comes, we are not already stretched to the limit.
• We are stronger because of the variety of skills and personal backgrounds of our team. We hold ourselves accountable with annual reporting on diversity statistics. As a woman owned and led company, diversity, equity, and inclusion is woven into all aspects of the organization.

Compensation & Benefits

• Pluribus Digital offers a competitive salary that is determined at the time of offer. We are hiring for multiple levels under this job posting. Compensation will be based on experience and qualifications, with salary ranges aligned accordingly. If a candidate is a strong fit at a more junior or senior level to what is outlined here, we will assess them accordingly and apply the appropriate salary range during the hiring process. The range for this specific role is from $140,000 to $155,000 depending on experience. Salary is augmented with opportunity to earn annual bonus and medical/dental/vision benefits, PTO, company paid life insurance and a generous 401k match program. Details on benefits can be found here: https://pluribusdigital.com/content/join/benefits.

We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.

Job responsibilities

• Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions.
• Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready.
• Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability.
• Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals.
• Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation, while uplifting the team by sharing knowledge, tools and practices that enable both SMEs and generalists to contribute effectively.
• Provide architectural guidance, balancing experimentation with delivery in short, safe cycles.
• Review designs and code across the team, ensuring quality and consistency in AI-enabled features.
• Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required.

Job qualifications

Technical Skills

• Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability.
• Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance.
• Deep experience with GenAI and agentic frameworks, guiding teams in their effective use.
• Expertise in building and scaling RAG pipelines and integrating vector databases into production systems.
• Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility.
• Skilled in LLMOps practices and monitoring production systems with observability tools.
• Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks.

Professional Skills

• Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
• Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
• Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team.
• Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

EEO

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.

Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.

US - Work Authorization

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Onsite

Salary

Benefits: https://www.thoughtworks.com/en-us/careers/benefits

The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.

Salary

$198,000—$261,000 USD

See here our AI policy.

We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices.

Job responsibilities

• Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production.
• Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems.
• Own key features or components, ensuring they are well-structured, efficient and easy to maintain.
• Make technical decisions and contribute to system design with attention to performance, cost and reliability.
• Collaborate with product managers, designers and data scientists to turn business needs into practical solutions.
• Share knowledge and mentor junior team members, helping them grow their technical skills.
• Review code and provide clear, constructive feedback to peers.
• Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc.
• Understand optimization techniques to improve accuracy, performance and cost for GenAI applications.

Job qualifications

Technical Skills

• Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices.
• Solid grasp of software design principles and ability to design and implement AI-powered components or workflows.
• Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2).
• Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate).
• Familiarity with deploying AI solutions on major cloud platforms (AWS, Azure or GCP), with basic use of containers (Docker) and CI/CD pipelines.
• Experience using LLMOps and observability tools (e.g., Langfuse, PromptLayer, OpenTelemetry) in production.
• Exposure to fine-tuning and use of ML/NLP frameworks such as PyTorch or Hugging Face Transformers.

Professional Skills

• Ability to independently solve complex, ambiguous technical problems.
• Willingness and ability to guide and mentor junior engineers, sharing knowledge and best practices.
• Strong collaborative skills, working effectively with diverse, cross-functional teams.
• Thrives in a dynamic and fast-paced environment, demonstrating resilience in the face of challenges.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

EEO

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.

Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.

US - Work Authorization

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Onsite

See here our AI policy.

We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.

Job responsibilities

• Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions.
• Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready.
• Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability.
• Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals.
• Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation, while uplifting the team by sharing knowledge, tools and practices that enable both SMEs and generalists to contribute effectively.
• Provide architectural guidance, balancing experimentation with delivery in short, safe cycles.
• Review designs and code across the team, ensuring quality and consistency in AI-enabled features.
• Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required.

Job qualifications

Technical Skills

• Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability.
• Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance.
• Deep experience with GenAI and agentic frameworks, guiding teams in their effective use.
• Expertise in building and scaling RAG pipelines and integrating vector databases into production systems.
• Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility.
• Skilled in LLMOps practices and monitoring production systems with observability tools.
• Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks.

Professional Skills

• Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
• Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
• Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team.
• Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

EEO

Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.

Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.

US - Work Authorization

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Remote

Salary

Benefits: https://www.thoughtworks.com/en-us/careers/benefits

The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.

Salary

$198,000—$261,000 USD

See here our AI policy.

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

About the Role

We’re hiring Security Data Engineers to join our Manchester team and work at the heart of our SaaS and AI security platform. This is a data engineering role first — you’ll spend most of your time building and maintaining the data pipelines that power Obsidian’s detection and analytics capabilities.

The role sits at an interesting intersection: the work is technically demanding data engineering, but the context is security. You don’t need a security CV — you need to be a strong data engineer who is curious about how modern SaaS and AI platforms work, and what makes them risky.

What you’ll do

• Build and maintain data retrieval integrations across major SaaS and AI platforms — connecting to APIs, handling auth flows, and ensuring reliable telemetry ingestion.
• Design and develop dbt models in SQL on Clickhouse and Databricks, transforming raw platform data into clean, structured datasets ready for analysis.
• Build rule-based checks to identify risky configurations and unusual activity patterns across SaaS and AI platforms — translating security insight into logic.
• Develop a working understanding of how SaaS and AI platforms are structured and where security risks emerge, to inform what data we collect and what we look for.
• Debug data quality and detection issues in customer environments, working closely with the wider engineering and customer success teams.=

What we’re looking for

Requirements

• 4+ years of hands-on data engineering experience, including dbt and SQL.
• Strong SQL — you’re comfortable writing complex data models and transformations from scratch.
• Experience building or maintaining data pipelines that process high-volume event or log data.
• Comfortable working with REST APIs and integrating data from third-party platforms.
• Python proficiency for scripting, data manipulation, and pipeline logic.
• Some exposure to security concepts — enough to understand what ‘risky’ looks like in a SaaS or cloud context.
• This can come from working in a security company, cloud engineering, compliance, or your own interest.

Nice to have

• Hands-on experience with Clickhouse or Databricks.
• Familiarity with SaaS platforms such as Google Workspace, Microsoft 365, Salesforce, or Okta — from any angle (admin, engineering, or security).
• Understanding of identity and authentication concepts: OAuth, SAML, SSO, and directory services.
• Experience working with security telemetry — audit logs, API event streams, or similar.
• Interest in AI/LLM platforms and how they introduce new security considerations.

Why join us

• Work on a genuinely novel problem — securing SaaS and AI platforms is one of the fastest-moving areas in enterprise security.
• Become a domain expert by learning from the industry’s leading SaaS security team.
• Ideas move fast here — you’ll go from concept to customer impact in weeks, not quarters.
• Work for a Silicon Valley-headquartered company without leaving Manchester — hybrid working, with a team and product that operates at the highest level globally.
• Join a team that values engineering craft and gives you the space to do the work properly.

Employee Benefits

Our competitive benefits packages are designed to support our employees’ well-being, both at work and at home.  Our US based employees enjoy:

• Competitive compensation with equity and 401k
• Comprehensive healthcare with dental and vision coverage
• Flexible paid time off and paid holiday time off
• 12 weeks of new parent or family leave
• Personal and professional development resources

For more details on our US benefits, or for information on our international benefits, please see here.

Pay Transparancy

Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.

At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.  If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com

Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.

Base Salary Range

£91,000—£106,000 GBP

ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States.

ThisWay Global, Inc. is an AI-first technology company headquartered in Texas, operating at the intersection of artificial intelligence, data center infrastructure, and workforce solutions.

The company operates across three primary business areas:

• ADCAP — AI & Data Center Acceleration Platform: A data center development and operations platform supporting accelerated deployment timelines and NVIDIA NVL72/GB300 GPU clusters.
• Amalgamy.ai — AI Orchestration Software: An enterprise AI orchestration platform focused on GPU and compute utilization across AI environments.
• Staffing & Workforce Solutions: AI-powered talent matching solutions connecting employers with candidates at scale.

This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability.

Location: Remote – United States

Department: Engineering

Employment Type: Full-Time, Exempt

Responsibilities

• Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity.

• Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns.

• Write maintainable, resilient, and tested code following development standards and methodologies.

• Debug and improve system behavior, including networking and distributed coordination issues.

• Contribute to systems written primarily in Rust.

• Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability.

• Optimize performance and memory usage in resource-constrained environments.

• Debug concurrency issues and distributed coordination challenges.

• Design and maintain APIs and communication layers between distributed components.

• Identify and reduce tight coupling across services and systems.

• Diagnose and resolve cross-system failures in production environments.

• Design and implement secure, reliable solutions aligned with engineering standards.

• Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.

• Contribute to resolving architectural and systemic issues.

• Continue developing expertise in distributed systems, HPC infrastructure, and related tooling.

• Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links.

• Production experience developing systems in Rust or Go.

• Understanding of distributed systems failure modes and mitigation strategies.

• Knowledge of consistency models, coordination strategies, and state replication.

• Experience designing APIs and communication layers between distributed components.

• Experience working within established architectures and delivering production-quality components.

• Understanding of systems-level concepts including durability, reliability, and operational behavior.

• Ability to work independently while collaborating with technical leadership.

Preferred Qualifications

• Experience with HPC environments, exascale computing, or AI/ML infrastructure.

• Exposure to operating systems internals, compiler design, or language runtimes.

• Experience with edge computing or constrained network environments.

• Familiarity with message queues, event-driven systems, or streaming architectures.

• Exposure to consensus algorithms or distributed coordination primitives.

• Experience with concurrency, memory management, or performance optimization in production systems.

• Experience contributing to developer tooling, internal platforms, or infrastructure-layer components.

• Remote work within the United States.

• Opportunity to work on distributed systems supporting AI and exascale workloads.

• Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.

• Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.

WHO WE ARE:

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that’s thrown at us.

Splice embraces a culture of remote work. You’ll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.

When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Product Engineer III LOCATION: Remote - US

THE ROLE: We’re looking for a Fullstack Product Engineer to join a small, fast-moving team building the next generation of AI-first music creation experiences. This is a fullstack, AI-native role where you’ll own features end to end, from prototype through production, monitoring, and iteration. You’ll work alongside engineers, PMs, and designers in a high-trust, high-autonomy environment, shipping work that real producers and music-makers rely on. Our team practices agentic engineering end-to-end, and we expect engineers to be fluent with tools like Claude Code, Cursor, and Codex to build production-grade features without sacrificing code quality or reliability.

WHAT YOU’LL DO:

• Build and ship fullstack features across multiple AI-first products, including agentic music production and audio ML experiences like voice conversion, synthesis, and composition
• Work directly with PMs and designers to take rough ideas to shipped product quickly, owning the full arc from ticket to production
• Integrate and serve audio ML models in production and build the creator-facing surfaces that bring them to life
• Develop agents and AI-powered workflows that do real, meaningful work inside the product
• Use agentic coding tools (Claude Code, Cursor, Codex) as a core part of your daily development workflow
• Own features end to end, prototype, production, reliability monitoring, and iteration
• Uphold code quality and architectural standards even when moving fast, reading diffs line by line and writing tests for production-facing PRs
• Contribute to a codebase that improves over time, with integrated reliability monitoring and a measurable weekly impact on shipped features

JOB REQUIREMENTS:

• Experience — startup / early-stage product experience where you owned significant scope and shipped real product
• Problem decomposition — You clarify scope, edge cases, and constraints before writing a single line of code
• AI fluency and control — You direct the model, write targeted prompts, reject unhelpful suggestions, and know when not to use AI at all
• Verification discipline — For production PRs, you read diffs line by line, run the code, write tests, and catch hallucinations before they ship
• Architectural judgment — You reason about blast radius, scale, and trade-offs for every meaningful technical decision
• Clear communication — You communicate efficiently with both humans and agents about technical decisions, blockers, and outcomes
• Proficiency in React, Next.js, and TypeScript (frontend) and Node.js/TypeScript (backend)

NICE TO HAVES:

• Experience on a small, fast-paced team or early-stage product with broad scope ownership
• Exposure to ML/AI products, model serving, or audio in any form
• You make music — or you’ve spent enough time around producers to understand how they work and what they need

SPLICE BENEFITS:

• Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
• Time Off: Unlimited PTO to recharge and thrive.
• Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
• Retirement Savings: 401(k) plan with immediate vesting and company match.
• Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
• Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
• Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
• Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $130,480 - $163,100. Individual compensation will be commensurate with the candidate’s experience.

Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About the role

You’d be joining the Data Infra team — a small, high-leverage team within Chime’s Infrastructure Engineering org. We build and operate the foundational platform that Data Engineering relies on to run their workflows reliably at scale: from deploying Airflow and Flink environments to owning the DynamoDB and RDS infrastructure that powers Chime’s data platform. This is a generalist role where you’ll touch both pillars — the data engineering deployment layer and the storage layer — so you’ll never be bored. If you get energy from building durable foundations that other engineers build on top of, this team is for you.

The base salary offered for this role and level of experience will begin at $133,000.00 and up to $184,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Build and maintain deployment infrastructure for Data Engineering workflows, including Airflow, Flink, and chalk.ai environments
• Own and operate Chime’s core storage technologies — DynamoDB and RDS — serving both data engineering and platform teams
• Write infrastructure-as-code using Terraform and manage workloads on Kubernetes in production
• Partner closely with Data Engineering to translate their needs into scalable, reliable infrastructure solutions
• Drive reliability improvements across the platform — observability, capacity planning, and operational hygiene
• Participate in the full lifecycle of infrastructure changes: design, build, test, and ship
• Help shape how the Data Infra team scales its practices as Chime grows

To thrive in this role, you have

• 2–4 years of software engineering experience with a focus on infrastructure, platform, or backend systems
• Hands-on production experience with Terraform and Kubernetes
• Familiarity with AWS, particularly managed database services like DynamoDB and RDS
• Strong programming skills in Python or a similar language
• A systems-thinking mindset — you design for reliability, scalability, and maintainability from the start
• The ability to work autonomously on ambiguous problems and communicate clearly across teams
• Experience with data ingestion and ETL pipelines is a strong plus

#LI-AC2 #LI-Remote

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.