Lead Software Engineer

Job Responsibilities: You’ll be a core part of a high-trust team that builds mission-critical systems at breakneck speed. Expect real ownership, end-to-end product impact, and a seat at the architecture table from day one. In this role, you will: Build full-stack features across our three flagship products—Angular, Node.js, React, AWS (serverless). Own projects end-to-end, from product definition through backend/frontend, QA, deployment, and beyond. Collaborate closely with clinicians, ML researchers, and engineers to ship high-impact features in fast iteration cycles. Work with GraphQL APIs, reinforcement learning models, and real-world data pipelines to drive patient outcomes. Continuously improve developer experience, system stability, and CI/CD workflows. Join customer calls to deepen understanding of user needs and shape product direction. Drive engineering culture, mentor junior developers, and help scale the team’s impact over time. Job Requirements: 5–15 years of professional experience as a full-stack engineer, with proven product ownership. Expertise in JavaScript/TypeScript, with strong command of Angular, React, and Node.js. Fluency with AWS serverless architecture: Cognito, Lambda, DynamoDB, AppSync, CloudFormation, etc. Experience building end-to-end products (not just infra or microservices), ideally at fast-scaling, VC-backed startups (Series A–C). Strong product sensibility—you're a T-shaped engineer who obsesses over both code quality and user experience. Long tenures (2+ years per role) with clear growth trajectory. Degree in CS or equivalent from a top-tier university (e.g. MIT, Stanford, CMU, ETH, Toronto, Oxford, etc.). Experience integrating GraphQL, ML models, or agentic AI systems. Background in healthcare, life sciences, or climate tech. Prior role as a founding engineer, CTO, or technical co-founder. Hacker mindset—relentless problem-solver, resourceful, autonomous. Mission-driven—deep desire to build for the real world and do work that saves lives. Thrives in high-intensity, ambiguous, and fast-paced environments. Cares about shaping engineering culture and empowering others. Originally posted on Himalayas