Staff Software Engineer – Platform Team

Stellenbeschreibung:

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

Core Competencies

Demonstrates expertise in JVM ecosystem (Java, Scala), Rust, and Python, with a strong focus on distributed systems design, observability, and resilience engineering. Capable of enhancing developer tooling and driving AI tool adoption while maintaining a user-centric approach.