Senior Fullstack Engineer

We're looking for a Senior Fullstack Engineer who is equally comfortable shaping a React interface, designing a Rails service, and reasoning about the database and infrastructure beneath it. This is a core product role: you will own meaningful features end-to-end, from the client and partner experience down to the data model and the systems that run it. The product our users and partners rely on becomes more capable and more reliable because of the work you ship.

Key Responsibilities

• Build and ship product features end-to-end across the stack — React and TypeScript on the front end, Rails on the back end, and the database and services that support them
• Own meaningful product areas, taking responsibility for design, implementation, performance, and reliability rather than handing work off at a boundary
• Make pragmatic decisions about data modeling, API design, and infrastructure on GCP that hold up as the company scales
• Partner closely with product, design, and the clinical and operations teams to turn complex healthcare workflows into experiences that feel simple
• Raise the technical bar through thoughtful code review, design feedback, and shared engineering standards
• Mentor and sponsor less experienced engineers, providing guidance that accelerates the whole team's growth
• Building and integrating AI-powered features into production

Qualifications

Required

• 6+ years of professional software engineering experience building and shipping production web applications
• Strong proficiency across the stack: React and TypeScript on the front end and Ruby on Rails on the back end
• Solid command of relational databases and the infrastructure your applications run on, including comfort working in a major cloud provider (GCP or AWS)
• A track record of owning features end-to-end and making sound architectural trade-offs with limited supervision
• Experience building or integrating AI-powered features into production applications — whether LLM-backed workflows, retrieval-augmented generation, or ML-assisted automation — and applying those same tools to accelerate your own development workflow

Preferred

• Experience with Google Cloud Platform (our cloud provider)
• Experience working with healthcare data, HIPAA, or other regulated or compliance-sensitive environments
• Experience at an early-stage or high-growth startup, where you've helped establish engineering practices that scale

Originally posted on Himalayas