Sr/Staff Software Engineer - COB & Subrogate

Machinify is a leading healthcare intelligence company delivering unmatched value and efficiency to health plan clients. They are seeking a Staff/Senior Backend Engineer to set technical direction for backend development, design scalable services, and influence product direction while collaborating with cross-functional teams.

Responsibilities:

• Set the architecture and technical direction for backend systems on your product line
• Ship cloud-native services that power accurate, high-stakes payment-integrity decisions
• Turn ambiguous product intent into concrete, well-sequenced backend design
• Own your services in production — reliability, observability, and performance at scale
• Raise the engineering bar and grow the team's programming maturity as we scale Rust
• Set the standard for AI-driven delivery, keeping delivery fast and under human oversight
• Simplify labor-intensive workflows by applying ML techniques to large volumes of data
• Balance new customer value with technical-debt cleanup to keep the product sustainable
• Partner with PM, ML/DS, QA and UX to shape product direction and outcomes
• Mentor engineers and act as the backend voice in cross-team planning
• Work directly with customers on systems that impact millions of lives

Requirements:

• 10+ years of backend engineering for Staff, 6+ years for Senior (full-stack experience a plus)
• Strong application design and system architecture across complex backend systems
• Proven ability to author technical design documents that satisfy engineers and product partners alike
• Substantial production experience in Rust, Java, Go, or Scala; Rust highly desired
• Proven experience designing, building, and operating distributed systems at scale
• Hands-on with containers and orchestration (Docker, Kubernetes) in production
• Ownership of CI/CD pipelines for your own services — building them, not just consuming them
• Production experience on at least one major cloud — AWS, GCP, or Azure
• Strong SQL and relational database skills; comfort across NoSQL and caching layers
• Hands-on experience with agentic engineering tools and workflows in production
• Proven ability to read complex code and own and continually improve code quality
• Strong cross-functional collaboration with engineering, PM, ML/DS, and leadership
• A pragmatic default and strong systems instinct — you find root causes, not symptoms
• Comfort with complexity and curiosity to define the path forward, not wait for one
• BS or MS in Computer Science, or equivalent experience
• Technical leadership on Rust best practices — idioms, safety, and performance — as the team scales adoption across greenfield projects
• Healthcare, payer, or insurance domain experience; claims or payment-integrity workflows
• Experience shipping ML/AI-driven features in production and earning the business's trust in them