Staff Software Engineer – Platform Team

Jobtailor; Deutschland; Remote; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Jobtailor seeks an experienced engineer to dive into complex Scala and Rust-based systems, redesign data layers for ML/AI products, and build a robust Rust framework that ships reliable services. You will strengthen observability, resilience, and tooling while collaborating across JVM, Rust, Python, SQL, and Spark stacks to empower developers and operators.

You will thrive in an environment where ambiguity is common and the focus is on scalable, user-centric engineering practices that multiply

Qualifikationen

• Proficiency in JVM ecosystem (Java, Scala) and Rust.
• Experience with Python and SQL for data processing.
• Strong understanding of distributed systems design.
• Observability and resilience engineering focus.
• Proficiency in reading large codebases.
• User-centric mindset for developers and operators.

Aufgaben

• Investigate inherited Scala systems to identify root causes and scale issues.
• Redesign data layer supporting ML/AI products.
• Build a Rust framework for reliable, performant services.
• Improve observability and resilience across platforms.
• Shape developer tooling and engineering standards.
• Drive AI tool adoption across the company.
• Collaborate across JVM, Rust, Python, SQL, and Spark stacks.

Kenntnisse

JVM Ecosystem

Rust Frameworks

Distributed Systems

Observability

Testing Discipline

Python

SQL

Spark

Tools

Spark

Jobbeschreibung

• 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.

Highest-signal resume keywords

• JVM Ecosystem Proficiency
• Rust Framework Development
• Distributed Systems Design
• Observability Engineering
• Testing Discipline

Hard Skills

• Java
• Scala
• Rust
• Python
• SQL
• Spark
• Data Processing
• Systems Thinking
• Code Reading
• Distributed Systems

Soft Skills

• Empathy for Users
• Comfort with Ambiguity

Industry Keywords

• Observability
• Resilience Engineering
• AI Tool Adoption
• Developer Tooling
• Engineering Standards