Staff Backend SWE - Billing Platform

Remotefull-timelead

OtherPlatform

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Quick Summary

Key Responsibilities

summarization, extraction, classification, recommendation, and workflow automation Partnering closely with a principal frontend engineer and cross-functional teams (product, design, data,

Requirements Summary

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,

Technical Tools

OtherPlatform

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.