AWS roles open to Germany.

Contribute hands-on to the codebase by designing and implementing production-quality software.

Contribute hands-on to the codebase by designing and implementing production-quality software.

Contribute hands-on to the codebase by designing and implementing production-quality software.

Contribute hands-on to the codebase by designing and implementing production-quality software.

Contribute hands-on to the codebase by designing and implementing production-quality software.

Over 6 years of experience as a Data Engineer

Collect customer business requirements and advise them on Ubuntu and relevant open source applications

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer

Build and lead a team of engineers in your and similar timezones

Manage a distributed team of engineers and its MLOps/Analytics portfolio

Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications

Understand Ubuntu, Linux, networking and services in real-world environments

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Work across the entire Linux stack, from kernel, networking, storage, to applications

Understand Ubuntu, Linux, networking and services in real-world environments

Set architectural patterns, reference implementations, and foundational security automation that shape how infrastructure security is implemented across GitLab

Lead and coordinate end-to-end incident response for high-severity security events within a 24/7 global on-call model, with this role operating during U.S. business hours.

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

Lead and develop a team of engineers, ranging from graduate to senior

Develop and maintain features whilst communicating directly with enterprise customers.

Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale.

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.