Staff Backend SWE - Billing Platform

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.

Design and build the backend services for an AI-native billing platform hosted on GKE. Lead technical direction, mentor engineers, and integrate LLMs and ML models into billing workflows.

Requires 8+ years of software engineering experience with deep expertise in Java, Spring Boot, and cloud-native architecture. Candidates must be fluent in AI tools and comfortable owning both backend and frontend (React) development.

• PostgreSQLPreferred
• ReactPreferred
• TypeScriptPreferred

Identified from the job description. Confirm important requirements above.

• Java
• Spring Boot
• React
• GCP
• Kubernetes
• Microservices
• RESTful APIs
• LLM Integration
• MySQL
• PostgreSQL
• MongoDB
• DynamoDB
• TypeScript
• Node.js
• CI/CD
• Revenue Cycle Management

• Software
• Technology
• Healthcare
• Engineering
• Data & Analytics

Minimum experience

10+ years

Posting language

English

Working hours

40 hours per week