Staff Software Engineer

Job Description

Job Description

Staff Software Engineer (Full Stack, Backend-Leaning)

The Opportunity

Our client is hiring a Staff Software Engineer to join their early engineering team. This is a full-stack role with a backend lean , ideal for someone who can own larger technical systems end-to-end, set engineering direction, and help define how AI should be used responsibly in clinical environments.

This role is not just about shipping features—it's about building the foundation: architecture, patterns, reliability, and the team's approach to execution.

What You'll Do

• Lead end-to-end delivery of impactful features across React, TypeScript, Postgres, and AWS Lambda , improving real workflows for staff and patients
• Set technical direction for core systems: API design, data modeling, scalability, reliability, and deployment patterns
• Design robust, extensible systems built for the realities of clinical environments (edge cases, safety, change management, uptime)
• Shape how AI is applied across the platform—both to improve engineering velocity and to safely automate high-value workflows
• Partner closely with product and clinical teams to navigate tradeoffs across safety, usability, compliance, and automation
• Own the full project arc: clarify goals, shape architecture, manage risk, coordinate execution, and improve after launch
• Raise the bar across engineering by improving standards, code review quality, observability, incident readiness, and release confidence
• Mentor teammates and help build an engineering culture where concerns surface early and releases get smoother over time

What Our Client Is Looking For

Must-Haves

• Strong full-stack engineering background with a backend focus ; proven track record shipping end-to-end systems
• Expertise with modern web and backend development (React + TypeScript; Postgres; strong API fundamentals)
• Experience building and operating production systems in the cloud ( AWS preferred ; serverless/Lambda experience is a plus)
• Strong architectural instincts: systems thinking, clean abstractions, maintainability, performance, and reliability
• Product-minded engineering: you care about UX quality, workflow clarity, and adoption—not just code
• Comfortable operating in ambiguity, making decisions with imperfect information, and driving alignment across stakeholders
• Strong communication skills and the ability to lead through influence (not org chart)

Ideal Signals

• You've built systems in high-trust domains (healthcare, finance, security) where correctness matters
• You've shipped AI-assisted or AI-powered features with real guardrails (evaluation, monitoring, fallback paths)
• You've implemented practices that increase delivery confidence: testing strategy, observability, incident response patterns, safer rollout processes

Why This Role

• Early-team ownership with meaningful influence over architecture, product direction, and engineering culture
• Mission-driven work that directly improves how hospitals operate and how patients experience care
• AI applied practically and responsibly—automation where it helps, safeguards where it matters
• A rare chance to build the foundation and standards that the company scales on