Job Description
Staff Backend Software Engineer — Revenue Cycle Management
Our VC-backed, Unicorn-level US client is building the next generation of intelligent billing infrastructure for independent healthcare providers — a cloud-native, AI-native platform designed to eliminate the manual complexity of US medical billing and get providers paid faster. This is a greenfield build with real urgency, a talented team, and meaningful skin in the game for everyone involved.
We're looking for a Staff Backend Software Engineer with deep Java expertise and genuine AI fluency to join theirRevenue Cycle Management team. You'll be a core technical leader on a small, senior team building a new billing system from the ground up — one where AI isn't bolted on after the fact but baked into the architecture from day one.
What you'll be doing
- Designing and building the backend services that power a new AI-native billing platform, hosted on GKE and built cloud-native from the ground up
- Integrating LLMs, ML models, and external AI services into billing workflows — with proper observability, fallback behaviour, and human review where appropriate
- Identifying and implementing practical AI opportunities across the SDLC: summarization, extraction, classification, recommendation, and workflow automation
- Partnering closely with a principal frontend engineer and cross-functional teams (product, design, data, operations) to turn complex billing pain points into scalable solutions
- Leading code reviews, establishing engineering best practices, and mentoring junior and mid-level engineers
- Contributing to technical direction and architecture decisions for a platform with a real end-of-year launch target
What we're looking for
- 8+ years of professional software engineering experience
- Strong, production-depth Java and Spring Boot — this is their core backend language and a hard requirement
- RESTful APIs and microservices architecture at scale
- Hands-on React and frontend fluency — you're comfortable owning frontend work, not just aware of it
- Cloud platform experience: GCP preferred, AWS or Azure also fine; you understand cloud-native architecture in practice
- Containers, Kubernetes, CI/CD pipelines (Jenkins, Harness, Docker) — not just awareness, actual production use
- Database depth across relational and NoSQL: MySQL, PostgreSQL, MongoDB, DynamoDB
- You use AI tools every day across your full workflow — research, debugging, code generation, deployment. This isn't a nice-to-have; it's how they work and how they expect this person to work
What will make you stand out
- Recent TypeScript or Node.js experience alongside your Java background — they're evolving ther stack and that combination is genuinely valuable there
- Prior exposure to US healthcare billing, claims processing, or RCM — the domain has a steep learning curve and prior knowledge meaningfully accelerates impact
- Experience building production AI-enabled services — agentic workflows, LLM integration, evaluation frameworks, not just using Copilot
- Track record of greenfield platform delivery with real deadlines and real stakes
The role
Fully remote. You'll report directly to the engineering leader (Sr Director) for this team. This is a high-ownership, high-impact seat on a small team with a tight timeline — the right person will have the technical depth to lead from day one and the mindset to thrive in a build environment.
