Lead Backend Platform Engineer

We are hiring a Lead Backend Platform Engineer to own and strengthen a broad backend surface area spanning app APIs, partner APIs, EHR integrations, AI services, cloud infrastructure, and observability.

What you’ll do

• Own backend services that power our app and partner-facing products

• Lead design, implementation, and maintenance of APIs, microservices, EHR integration layer and service-to-service workflows

• Manage the AI infrastructure that powers our health intelligence and evaluation harness

• Improve production reliability, observability, alerting, incident response, and debugging workflows

• Drive architectural improvements that simplify service boundaries and reduce operational fragility

• Improve the quality, consistency, and maintainability of backend systems across the stack

• Partner closely with product, frontend, and AI to deliver robust systems

• Help define and enforce strong engineering standards around service design, testing, deployment, monitoring, and operational ownership

• Step into ambiguous, cross-functional problems and drive them to resolution with minimal oversight

• What success looks like

• Within 90 days, a new partner can integrate against our API in roughly a week with you as their primary technical contact.

• When a user-facing failure happens, you can localize the cause across ingestion, AI generation, and infrastructure and fix it without escalating.

• Prompt and pipeline changes ship behind a regression evaluation that catches quality drops before production.

• Auth, ingestion, and report incidents trend down because you've added the missing tracing, limits, and tests.

• The team has a stronger technical leader who communicates clearly, takes ownership, and raises the bar.

What we’re looking for

• 7+ years of backend engineering experience in production environments

• Strong experience building and operating backend systems at scale

• Deep expertise in backend architecture, distributed systems, and microservices

• Excellent written and verbal communication

• Strong ownership mentality and the ability to proactively identify and solve problems

• Comfort operating as a lead and wearing multiple hats across software, infrastructure, reliability, and cross-functional execution

• Strong debugging and root-cause analysis skills

• A track record of improving engineering quality, not just delivering features

• A high level of care, accountability, and pride in your work

• Technical qualifications

• Strong backend development experience in languages relevant to our stack

• Experience designing and operating microservices, REST APIs, and event-driven systems. Strong database skills, ideally with PostgreSQL

• Experience with cloud infrastructure and infrastructure-as-code, especially Terraform

• Experience with CI/CD, deployment pipelines, and production operations

• Strong experience with monitoring, observability, tracing, logging, and alerting

• Experience handling incidents, production debugging, and postmortem-driven improvement

• Hands-on experience iterating prompts, retrieval, and evaluation in production — not just calling a model API

• Day-to-day fluency with AI coding tools (Claude Code, Cursor, or equivalent) as part of your normal development loop

• Nice to have

• Experience in healthcare or health-tech. Familiarity with standards and healthcare data models such as FHIR and LOINC

• Experience supporting systems used by both internal product teams and external customers or partners

• This person will report directly to the CTO and work very closely with our AI Lead. For the right person, this is an opportunity to have outsized impact: solving hard systems problems, improving the technical foundation of the company, and helping shape how January builds production-grade AI products.