Generalist Engineer - R&D

1 month ago

Remote, Spain or Remote, PolandSenior

Responsibilities

Design and build production-grade systems that are reliable, scalable, and observable.
Own systems end to end from problem definition and design through data, implementation, deployment, and operations.
Work across application services, distributed systems, infrastructure, data pipelines, and machine learning systems.
Debug complex production issues across multiple system layers.
Improve performance, latency, reliability, and cost efficiency.
Contribute to architecture and technical direction while writing maintainable code and documentation.
Determine when to use machine learning versus deterministic systems.
Train, evaluate, and iterate on models; build reproducible pipelines; and deploy and monitor models for performance, drift, and cost.
Raise the engineering bar and deliver production systems from ambiguous problems.

Strong computer science fundamentals in data structures and algorithms, operating systems, networking, and distributed systems.
Solid probability and statistics knowledge.
Experience building production systems at scale.
Ability to work across Go, Java, Python, Rust, and SQL.
Understanding of system behavior under load and failure.
Comfort with Linux, containers, and Kubernetes.
Strong debugging skills and the ability to reason using invariants and failure modes.
Knowledge of data systems, streaming systems, machine learning infrastructure, and performance optimization.
Strong ownership, technical judgment, design thinking, curiosity about system internals, and clear communication.

Attractive salary, pension, health insurance, paid leave, and other benefits.
Learning and development environment with knowledge sharing, training, and regular internal technical talks.
People-focused culture emphasizing well-being, inclusion, collaboration, and employee voice.
Remote work is indicated by the #LI-Remote posting tag.

5,001-10,000 employees