[Hiring] Staff Backend Software Engineer - Billing Platform @Syndesus

Role Description

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 their Revenue 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.

Qualifications

• 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.

Requirements

• Recent TypeScript or Node.js experience alongside your Java background — they're evolving their 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.

Benefits

• 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.