[VED] Full-Stack Engineer

Company Description: We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! Job Description: 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. Qualifications: 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 #LI-DNI Additional Information: 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.