Teams at Nebius

Resolve complex customer technical issues across Linux, networking, security, Kubernetes, cloud, storage, and ML environments. Diagnose problems, automate workflows with Python and Bash, support model deployment and inference pipelines, communicate resolutions, escalate unresolved issues, and maintain troubleshooting documentation. The role requires rotational shifts or on-call availability and remote work in the USA.

Own the strategy, roadmap, outcomes, launch, and adoption of a high-performance AI inference platform. Coordinate multiple engineering teams across APIs, routing, performance, reliability, and enterprise features. Partner with engineering and research to improve scalability, reliability, and cost efficiency; conduct customer research and proofs of concept; and monitor AI models, inference economics, and market needs to guide product decisions.

Lead delivery of US network infrastructure initiatives while maintaining hands-on technical involvement. Set engineering and operational standards, review designs, manage incidents, drive cross-team decisions, and build automation, observability, reliability, provisioning, and CI/CD practices. Coordinate across engineering and international teams, turn operational issues into prioritized backlogs, and ensure tools, workflows, documentation, and runbooks are adopted. Help establish a new network infrastructure organization and eventually scale its team and scope.