T
Truvetavia Greenhouse
Senior Software Engineer - AI Platform
Seattle, WA$155K - $190K/yrPosted 1w ago
MLOpsSeniorFull-time
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About the Role
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
Join Truveta’s Intelligence Platform and Applications team to engineer the next wave of healthcare AI, building the reliable, scalable backend platform that powers adaptive AI systems and helps transform health data into intelligence. Guided by Truveta’s mission of Saving Lives with Data, you’ll help create an engineering foundation that enables clinicians and researchers to make data-driven, proactive, and impactful decisions.
We are seeking a Senior Engineer who thrives at the intersection of platform engineering, cloud-native infrastructure, backend services, and applied AI systems. You’ll bring strong platform engineering craftsmanship, production ownership, and cloud-native infrastructure discipline to build scalable services, reliable deployment foundations, and secure AI-enabled workflows that support healthcare intelligence at scale.
You’ll help shape the backend and platform capabilities that make healthcare AI more reliable, maintainable, and impactful, driving real-world progress across research, care delivery, operations, and patient outcomes.
This Opportunity
Patients, doctors, and medical researchers deserve to benefit from the same large-scale technological innovations and artificial intelligence that have transformed productivity, creativity, and communication. As part of the Intelligence Platform and Applications team, you’ll use your expertise in platform engineering, cloud-native infrastructure, backend services, and production systems to build the robust foundation that intelligent healthcare applications depend on.
If you’re seeking a sense of purpose and are motivated to advance how technology supports learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful.
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, andtyto 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.
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