Senior Software Engineer - Backend Services

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Join Truveta’s Intelligence Platform and Applications team to build the backend services, platform foundations, and production systems that power the next generation of healthcare intelligence. This position is based out of our headquarters in the Greater Seattle area.

Responsibilities

Build the backend services, platform foundations, and production systems that power the next generation of healthcare intelligence; Design, build, deploy, and operate services that are reliable, observable, maintainable, and secure at scale; Own backend systems end to end: from service design and API development to deployment, debugging, observability, reliability, and security; Support AI-enabled healthcare workflows; Work across platform, application, data, and AI-enabled workflows; Partner with platform, ML, application, data, and product engineers; Mentor peers, raise engineering standards, improve operational practices, and make pragmatic trade-offs

Requirements

5+ years of software engineering experience, with meaningful ownership of backend services, production systems, or platform infrastructure; Designed, built, deployed, debugged, and operated backend services in production; Strong Python backend engineering experience, including async programming, testing, packaging, API design, and maintainable service architecture; Comfortable using modern Python tooling such as uv, ruff, and ty; Think beyond implementation and care about production operations, including observability, reliability, incident-aware development, debugging distributed systems, and deployment troubleshooting; Build secure services by default, with experience in secure service design, secrets handling, token hygiene, dependency scanning, CVE triage, OWASP-aligned practices, and security patching within SLA; Built backend service integrations with LLM APIs such as OpenAI, Azure OpenAI, or equivalent, with attention to reliability, security, latency, error handling, and maintainability; Practical experience in agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and understand how these patterns support tool orchestration, service integration, and AI workflow design; Hands-on experience with cloud-native platform foundations such as Kubernetes, containers, CI/CD pipelines, and infrastructure-as-code tools such as Terraform; Understand the importance of responsible artifact and dependency management, with experience using systems such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, or similar workflows; B.S. or M.S. in Computer Science, Engineering, Artificial Intelligence, or related technical field, or equivalent practical experience

Nice to have

AKS and Azure Pipelines experience is preferred

Benefits

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); Certain roles are eligible for additional compensation such as incentive pay and stock options