Job Description
Marathon Health is a leading advanced primary care provider, partnering with employer and union plan sponsors to improve health for millions of Americans. With nationwide onsite, nearsite, and network health centers, and virtual primary care, Marathon delivers a value-based model that enhances the healthcare experience for members and providers, while driving meaningful cost savings for plan sponsors. Marathon is proud to be certified as a Great Place to Work®, reflecting the company's commitment to building an inclusive, high-trust culture where all employees can thrive. Learn more at
ABOUT THE JOB
The Senior Staff Engineer is one of Marathon Health’s most senior individual contributors and serves as the engineering organization’s center of gravity for excellence in agent-assisted software development. The Senior Staff Engineer combines hands-on technical delivery with broad organizational influence, using coding agents and modern agentic engineering practices to ship better software, faster, and to raise the engineering bar across Marathon’s technology organization. This role partners with engineering and product leadership to shape both what gets built and how it gets built, drives architectural decisions that span team boundaries, defines reusable engineering patterns, and grows agentic and AI-native engineering fluency across Engineering, Data, and Infrastructure. The Senior Staff Engineeroperateswith significant autonomy on initiatives that cross organizational lines and translates the rapidly evolving practice of building software with agents into patterns and habits Marathon’s engineers can apply in daily work.
ESSENTIAL DUTIES & RESPONSIBILITIES
- Deliver cross-cutting engineering work — platform components, refactors, integrations, and high-leverage features — at a pace achievable only through disciplined use of coding agents (Claude Code, Codex, or comparable) and modern agentic engineering practices.
- Set the technicalstandardfor the engineering organization. Define and codify what good agentic engineering looks like at Marathon, including spec-driven development workflows, agent steering documents, custom Skills, MCP server patterns, subagent orchestration, and disciplined context engineering. Package these as reusable skills, plugins, templates, and internal documentation that other engineers can adopt without reinventing them.
- Drive architectural decisions that span Engineering, Data, and Infrastructure. Partner with the Principal Architect and engineering leadership on systems design problems that cross team boundaries, lead ARB-level reviews, and bring strong fundamentals to APIdesign, distributed systems, event-driven patterns, observability, and security within a HIPAA-regulated environment.
- Build internal agents, MCP integrations, and RAG-backed applications where the return on investment is clear. Apply agent development frameworks pragmatically, withappropriate evaluation, guardrails, and cost discipline.
- Influence both what gets built and how it gets built. Partner directly with engineering leaders, product partners, and internal stakeholders to shape initiative scoping, sequencing, and tradeoff decisions. Bring product judgment and technical discernment upstream into the question of whether a problemwarrantsengineering investment — not just downstream into how the work is delivered.
- Mentor senior and staff-level engineers across the organization. Lead pairing sessions, design reviews, andbrown-bags. Grow agentic and AI-native engineering fluency across Engineering, Data, and Infrastructure through hands-on collaboration and visibleexample.
- Operate as a healthcare-aware engineer. Respect PHI handling, BAA requirements, audit trails, clinical safety considerations, and regulated change management, and help teams move efficiently within these requirements.
QUALIFICATIONS
- BS or MS in Computer Science or related field, or equivalent professional experience.
- 10+ years of professional software engineering experience, withsignificant timeat Senior, Staff, or Principal IC levels.
- Deep systems design and architectureexpertise, including distributed systems, API design, event-driven patterns, data flow, observability, and security. Agentic capabilities areleverageon top of strong fundamentals; we are nothiring forAI experience in lieu of engineering experience.
- Hands-on experience across a modern engineering stack: cloud platforms (AWS, Azure, or GCP); strong proficiency in at least one of .NET, Python, or TypeScript and working fluency in the others; containers and Kubernetes (EKS, AKS, GKE) or comparable orchestrators; infrastructure-as-code (Terraform); CI/CD pipelines (GitHub Actions or comparable); modern observability tooling; and data platforms such as Snowflake and Kafka.
- Daily-driver fluency with agentic engineering tooling. Routine use of a major coding agent (Claude Code, Codex, Cursor, or comparable) as a primary delivery vehicle, with direct experience managing context, orchestrating subagents, working with hooks, skills, and plugins, and recognizing the failure modes of long-horizon agentic tasks. Working knowledge of MCP — both consuming servers and authoring them — and of how Skills, slash commands, and agent steering documents fit together as a context-engineering toolkit.
- Disciplined experience with spec-driven development applied to real production work.
- Practical exposure to at least one agent development SDK or framework (such as OpenAI Agent SDK,LangGraph, or comparable), sufficient to make sound build, buy, or skip decisions about agent solutions.
- Working knowledge of retrieval-augmented generation (RAG) patterns, including retrieval design, grounding, and the tradeoffs between RAG, fine-tuning, and longer-context approaches.
- Demonstrated technical influence beyond individual contributions — patterns, libraries, frameworks, internal tooling, documentation, or mentorship that other engineers adopted andbenefitedfrom.
- Comfort with product-adjacent work, including crisp problem framing, direct conversations with internal customers, MVP scoping, and confident decisions about whether a problemwarrantsengineering investment.
- Strong written and verbal communication, with the ability to explain technical tradeoffs to executives, clinicians, and junior engineers in theappropriate registerfor each.
DESIRED ATTRIBUTES
- Healthcare or otherregulated-industryexperience (HIPAA, HITRUST, SOC 2).
- Experience with data orchestration and transformation tooling (Airflow,dbt, Databricks, or comparable) and modern data engineering patterns.
- Experience evaluating LLM-powered systems, including eval harnesses, hallucination and regression testing, and cost and latency monitoring.
- Track recordof building and shipping internal frameworks, plugins, or skills that other engineers adopted at scale.
- Cloud platform certification (AWS, Azure, or GCP) at the professional or architect level.
- Discernment about what to build. Skeptical of agentic solutions when a simpler tool would do the job better, and able to recognize when an LLM call is the wrong answer.
- Bias toward delivery. Prioritizes shipping production-ready solutions with a clear improvement path over pursuing exhaustive designs thatfail toreach production.
- Influence without authority. Changes how others work by being unambiguously strong atthe workand generous with the lessons learned.
- Comfort with ambiguity. Operates confidently where the established practices end and reports back with patterns the rest of the organization can use.
Pay Range: $170,000 - $195,000/yr
The actual offer may vary dependent upon geographic location and the candidate’s years of experience and/or skill level.
We are accepting applications for this position until a candidate has been selected. To apply to this position and learn more about open jobs at Marathon Health, visit our careers page.
Originally posted on Himalayas
