Designing and building backend services for an AI-native billing platform, integrating AI into workflows, leading code reviews, and mentoring engineers.
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.
The base pay range for this role is CA$180,000 – CA$220,000 per year.
Syndesus New York, New York, USA Office
80 Theodore Fremd Ave Rye, New York, United States, 10580
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Manage a named mid-market book of business, prospect and close SaaS deals, drive adoption and retention, forecast quarterly results, collaborate cross-functionally, and represent GitLab at events. Own account strategy, pipeline, and customer relationships while using sales frameworks (MEDPICC, Command of the Message) to meet quota and reduce churn.
Top Skills:
Application Lifecycle ManagementDevOpsGitGitlabOpen Source
Cloud • Security • Software • Cybersecurity • Automation
Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.
Top Skills:
AIDevsecopsGitlabGitlab Duo Agent Platform
Cloud • Security • Software • Cybersecurity • Automation
Manage a named commercial territory in US East/Central, drive new business and renewal growth, build pipeline, forecast, collaborate cross-functionally, ensure adoption, avoid churn, and represent GitLab at events while using MEDPICC and Command of the Message.
Top Skills:
Application Lifecycle ManagementDevOpsDevsecopsGitGitlabSaaSSoftware Development Tools
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
