Full Stack Engineer

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

What you'll do Work across our stack to ship features that directly impact clinicians and patients. You'll build and extend our EHR (Cue), develop AI-driven clinical tools like Scout, and improve our intake, scheduling, and billing infrastructure. You'll collaborate closely with PMs, designers, and clinicians to solve real healthcare problems.

Our stack React, TypeScript, AWS (Lambda, DynamoDB, API Gateway, SAM), Cloudflare, Vite, Contentful. Observability via Sentry and Lumigo. Testing with Vitest, Cypress, and MSW.

Requirements

• 3+ years of professional engineering experience
• Strong with TypeScript, React, and Node.js
• Comfortable working across frontend and backend in a serverless AWS environment
• Experience with relational or NoSQL databases (DynamoDB, Postgres, or similar)
• Familiarity with REST API design and working with third-party integrations
• Comfort with infrastructure-as-code or deployment tooling (SAM, CloudFormation, or similar)
• Actively uses AI tools (Claude, Cursor, Devin, Copilot, etc.) to write, review, and ship code faster
• Can read a codebase, orient quickly, and make good tradeoffs without hand-holding
• Solid instincts around testing, code quality, and shipping incrementally
• Strong written communication skills, especially for async collaboration, PR descriptions, and technical documentation
• Comfortable in a fast-moving, small team environment where ownership is high and context-switching is frequent
• Experience with or genuine interest in healthcare/HIPAA environments is a plus

What we mean by "AI forward" We don't just use AI in our product. We use it in how we build. We expect engineers to leverage AI coding agents and LLMs as part of their daily workflow: drafting PRs, writing tests, reviewing code, triaging bugs, and accelerating research. If you're already doing this naturally, you'll fit right in. If you're skeptical of AI tooling, this probably isn't the right role.