Senior Software Engineer - AI Platform

Senior Software Engineer - AI Platform 

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid

Who We Need 

This Opportunity 

We are seeking backend engineers who:

• Build and operate cloud-native platforms: hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, and infrastructure-as-code patterns; comfortable working across AKS, Terraform/Terragrunt, and deployment pipelines. 
• Build and own production services end to end: experienced in designing, building, deploying, debugging, and operating backend services in production, using async-first, well-tested Python and modern tooling such as uv, ruff, and ty to deliver reliable, maintainable systems. 
• Think and build like platform engineers: grounded in modular architecture, separation of concerns, code quality, and pragmatic design trade-offs. You can translate product and AI platform needs into robust backend systems that integrate cleanly into a large-scale platform. 
• Improve deployment and operational reliability: able to contribute to CI/CD template maintenance, deployment stage configuration, pipeline hardening, and production environment debugging. 
• Bring a security and reliability mindset: experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP practices, and security patching within SLA. 
• Manage artifacts and dependencies responsibly: experienced with artifact registry workflows such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, or similar dependency management practices. 
• Have practical exposure to AI-enabled systems: familiar with LLM APIs such as OpenAI, Azure OpenAI, or equivalent, and able to contribute meaningfully to AI-powered workflows without needing to be an ML researcher. 
• Understand agentic AI patterns: interested in or familiar with LangGraph, LangChain, MCP, A2A, or similar agent orchestration, tool integration, or interoperability patterns. 
• Collaborate across boundaries: partner effectively with platform, ML, application, and product engineers to transform concepts into scalable, reliable solutions. You communicate clearly, share knowledge openly, and thrive in cross-functional teams. 
• Demonstrate senior-level ownership: capable of taking services or features from design to production, mentoring peers, and making pragmatic trade-offs that balance speed, quality, security, and reliability. 
• Act with purpose: applying thoughtful engineering and security-first principles to create systems that advance healthcare intelligence responsibly and at scale. 

Key Qualifications: 

• 5+ years of software engineering experience, with meaningful ownership of platform, backend, or production infrastructure systems.
• Hands-on experience operating cloud-native services in production, including deployment, debugging, reliability, and incident-aware engineering.
• Strong experience with Kubernetes, CI/CD pipelines, containers, and infrastructure-as-code tools such as Terraform; AKS and Azure Pipelines experience preferred.
• Proficiency in Python for backend or platform service development, including async programming, testing, packaging, and maintainable service design.
• Experience with modern Python tooling such as uv, ruff, and ty. 
• Security-conscious engineering experience, including dependency scanning, CVE triage, token hygiene, OWASP-aligned practices, and secure service design.
• Familiarity with LLM APIs such as OpenAI, Azure OpenAI, or equivalent.
• Familiarity with agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A is a plus.
• Experience with artifact registry management, including JFrog, Docker/PyPI proxying, GPU artifact mirroring, or similar workflows is a plus.
• B.S. or M.S. in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience.

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person)
• The base pay for this position is $155,000 to $190,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.