Full Stack Engineer for Enterprise Products

About the role

• You will build IRIS, 5C Network's Radiology Operating System for large multi-site hospitals: RIS, PACS integration, reporting and operations on one platform. You will own its production architecture and take it live in hospitals.
• 5C has built teleradiology in India since 2017. Today we read 20,000+ scans a day, with 400+ specialist radiologists working in our ecosystem. All of it runs on software we built ourselves: worklist, routing, AI pre-read, reporting, QC and turnaround control. IRIS turns that system into a product hospitals run themselves. It isn't a guess at what hospitals need; it's built on years of running radiology at scale.
• Our first deployment is with one of India's leading hospital chains, across multiple hospitals and a central hub. A working sandbox (the MVP) is already live.
• Bengaluru, on-site, 6 days a week. 2-4 years of experience.

What you'll build

• Hospital integrations: HL7 orders coming in from the hospital information system and reports going back out, plus DICOM worklist sync with scanners across sites
• Real-time worklists: routing studies between hospitals and the hub, with turnaround timers that doctors and ops teams act on live
• Roles and permissions for 8+ clinical roles: receptionist, technician, nurse, medical officer, residents, consultants and QA, each with its own workflow
• On-prem deployments that keep running when hospital networks don't
• AI in the clinical loop: turning AI pre-reads into something radiologists trust, with evals, feedback loops and audit trails
• Production-grade reliability: observability, audit logs and uptime a hospital can depend on

Your first 90 days

• Week 1: shadow technicians and radiologists in a live radiology department
• Day 15: ship your first feature to the sandbox, in front of real users
• Day 30: own a full module end to end: design, build, deploy and support
• Day 60: ship your module to production in a live hospital
• Day 90: run your module in production across sites, and help shape the IRIS roadmap and technical decisions for the next phase

Must have

• Strong full-stack skills: React and TypeScript on the frontend, Node.js or Python on the backend
• Solid PostgreSQL and API design. Comfortable with queues, caching and containerized deployment (Docker)
• You've shipped production software that real users depend on, and owned it end to end
• AI-native: you use Claude, Cursor or similar daily to build faster, and you know where to trust it and where not to
• High ownership. You can take a rough mockup and a clinical workflow and ship it without waiting
• You've worked on B2B software products end to end, ideally 0-to-1, with real customers

Good to have

• Healthtech experience (RIS, PACS, HIS, EMR) or exposure to DICOM, HL7 or FHIR
• Auth and permissions (Keycloak, policy engines), on-prem deployments, observability
• Experience with workflow-heavy enterprise software used by hospitals or operations teams

Why join

• Building AI into high-stakes clinical workflows, not demos
• Real scale from day one: a business already reading 20,000+ scans a day, a live MVP and a committed first customer. Not a blank page or a pitch deck
• Architecture decisions most engineers wait 8+ years to make
• Work directly with the founder. As IRIS grows, you'll help hire and lead the next engineers, with a clear path to tech lead
• AI-native team: paid Claude and Cursor seats, and the freedom to shape how the team builds with AI
• Product judgment: you'll work directly with radiologists, hospital ops teams and the founder, and join customer demos and go-lives

What this is not

• Not a ticket-taking role on a mature codebase
• Not a frontend-only or backend-only role
• Not a role where you wait for specs

Skills

React, TypeScript, Node.js, Python, PostgreSQL, HL7 / DICOM