Note: The job is a remote job and is open to candidates in USA. Koda Health is a mission-driven digital health company focused on advance care planning and serious-illness decision support. The Senior Software Engineer will own application-level production support during US business hours, harden AI-assisted code, improve reliability and data integrity, and productionize the ADT ingestion pipeline.
Responsibilities
- Serve as first responder for application-level production issues during US business hours, owning them from investigation through the shipped fix
- Share production coverage with the CTO and our infrastructure engineer — app issues are your lane, platform issues are theirs, and you back each other up (no solo always-on pager)
- Keep releases moving: branch syncs, release shepherding, and a CI pipeline healthy enough that shipping stays boring
- Make fast-shipped, often AI-assisted code production-grade: error handling, retries, edge cases, test coverage, and security review for anything touching PHI
- Review, harden, and land agent-authored PRs, verifying them against how the system actually behaves before they merge
- Build the observability that catches problems before customers do: error reporting, synthetic canaries for critical journeys, and alerting that turns recurring incidents into runbooks and permanent fixes
- Keep the system simple as it grows — refactoring, simplifying, and deleting are as valued here as adding
- Own the health of our data layer: schemas, indexes, and consistency across related collections
- Design and run the migrations and backfills that clean up inconsistent historical data safely, understanding the blast radius before anything ships
- Add the write-time guardrails that keep data problems from recurring
- Help productionize our ADT (HL7v2) ingestion pipeline: drive it to production, own its monitoring and alerting, and investigate when a hospital feed misbehaves
- Trace issues from feed to patient record and fix the right layer — you don't need HL7 experience coming in; Claude Code and our docs cover protocol details, and your application and data judgment does the rest
- Partner with our infrastructure engineer, who owns the platform side (networking, queues, compliance), while you own the application and data side
Skills
- You'll use Claude Code and AI agents as your default tools — pointing them at production issues, verifying what they find, and shipping the fix yourself
- This is a remote role with set hours of 9:00 AM to 5:00 PM ET, Monday to Friday, with reasonable flexibility around the edges; consistent daytime availability for production support during US clinical hours is a firm requirement
- Every member of the Koda team is expected to use AI tools as a genuine part of how they work
- Koda Health does not provide visa sponsorship for employment
- Applicants must be legally authorized to work in the United States at the time of application and must maintain valid work authorization throughout their employment without the need for current or future sponsorship
- A seasoned application engineer (roughly 5+ years, or equivalent demonstrated judgment) with real production experience: you've debugged live systems under pressure and take pride in operating what you run
- Strong TypeScript across React (frontend) and Node (backend), and comfortable in a GraphQL API and a document database (we use Apollo and MongoDB; comparable experience translates)
- Real database literacy: you can read a schema, reason about indexes and query performance, and write a safe migration or backfill
- Comfortable debugging event-driven systems — queues, retries, redelivery, idempotency — where the failure modes matter more than the wiring
- You already build with AI in your daily loop (Claude Code or similar) and pair it with the discipline to review generated code against domain and security invariants — you don't ship what you can't defend
- Security-conscious by habit: you think about what could go wrong with PHI before it does
- Strong written communication: incident write-ups, runbooks, and decision rationale
- US-based with US work authorization, and able to hold production and PHI-scoped access (background check and BAA as required)
- Candidates who actively use AI in their day-to-day work will stand out in our process
- Healthcare experience: HL7v2/ADT feeds, SMART on FHIR, Redox, Epic/Cerner, or working under HIPAA or SOC 2 is a strong plus, not a gate
- Observability experience: you've built the alerting or canaries that caught a problem before a customer did
- Basic cloud familiarity: reading logs and metrics, understanding what a queue or CDN is doing to your request (deep AWS expertise not required for our infrastructure engineer owns the platform)
- AWS and infrastructure-as-code experience (we use CDK)
- Real-time and telephony integrations (Twilio, Aircall), or production AI/LLM systems
- Early-stage startup experience where ownership is broad and ambiguity is the norm
Benefits
- Fully remote role (US-based)
- Flexible, unlimited paid time off, including 8 company holidays
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan options
- Annual professional development budget for books, courses, trainings, and conferences
- Work-from-home stipend to support your home office setup and ongoing remote work needs
- Annual company and team events
- Latest MacBook and enterprise-grade tooling to do your best work
- Clear growth paths for both individual contributors and people managers
Company Overview