Machinify is a leading healthcare intelligence company specializing in delivering value and efficiency to health plan clients. The Staff Platform Engineer will work on improving complex Scala systems, redesigning data layers for ML and AI products, and enhancing developer tooling and engineering standards across the platform.
Responsibilities:
- Dig into inherited Scala systems to find where the real problems are, separate symptoms from causes, and make them scale
- Redesign the data layer our ML and AI products depend on — this is an open, hard problem
- Build out a Rust framework that lets teams ship correct, performant services without reinventing fundamentals
- Improve observability and resilience across the platform so we find problems before our customers do
- Shape developer tooling and engineering standards — your work multiplies everyone else's effectiveness
- Drive AI tool adoption across the company, figuring out what actually helps engineers work better
- Work across the full stack: JVM (Java/Scala), Rust, Python, SQL, and Spark
Requirements:
- Systems thinking. You see how pieces connect. When something breaks, you reason about the whole system, not just the component in front of you
- Fearless code reading. You can drop into a large, unfamiliar codebase, build a mental model, and figure out what needs to change
- Empathy for users. Whether it's a developer using your framework or an operator reading your error messages, you design for the people downstream
- Testing discipline. You test thoroughly not because someone requires it, but because you've shipped enough software to know what happens when you don't
- Comfort with ambiguity. Our hardest problems don't come with specifications. You're energized, not paralyzed, by that
- Proficiency in JVM ecosystem (Java, Scala)
- Experience with Rust highly desired
- Python
- SQL and data processing (Spark or similar)
- Distributed systems design
- Observability and resilience engineering