Lead Software Engineer
Connections Outsourcing
- Backend-Engineering
- Developer
- Frontend-Engineering
- Fullstack-Development
- Lead-Software-Development-Engineer
- Software-Engineer
- Software-Engineering
Assessed from original listing evidence
The role
Job description
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, [link removed], 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 [link removed].
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
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