Senior Kubernetes Operations Engineer

What You’ll Do

• Remotely install, upgrade, operate and maintain bare-metal Kubernetes clusters (up to thousands of nodes each)
• Handle cluster degradation, recovery and resizing using our fleet management tooling
• Perform out-of-hours on-call response for critical incidents as part of a well-balanced on-call rotation
• Work on improving our tooling, automation, and processes, for both daily operations, alerting, and incident response
• Dive into systems at a low level to solve unique cluster problems and write up your findings
• Assist customers with high-level Kubernetes questions and integration with applications, storage and authentication
• Assist with initial cluster build-outs and validation to help identify failed hardware before customer delivery
• Work closely with our HPC Ops and Datacenter Ops teams on issues that require lower-level expertise or cross-functional solutions
• Mentor and assist less-experienced team members
• Have a voice in our product direction and help us think about how to minimize operational costs and complexity

You

• Are an experienced operations engineer, SRE, sysadmin or similar with a deep knowledge of running Linux clusters and systems
• Are very familiar with running on bare-metal (including knowledge of BMCs, kernel drivers, PXE, RAID, VLANs, hypervisors)
• Have a good understanding of containers, virtualisation, and the mechanisms underpinning them
• Have a good understanding of daily operation, bug-fixing and maintenance of Kubernetes
• Have experience in an on-call environment and with incident response
• Can perform incident post-mortems and develop procedures and tooling to prevent root causes from reoccurring
• Have an excellent ability to learn on-the-fly and adapt to solve problems
• Are able to work either independently with limited direction, or as part of a team
• Are able to work with customers during incidents either via tickets, live messaging, or as part of a larger call.

Nice to Have

• Deep Kubernetes experience
• Experience with user-level restrictions and hardening (e.g. AppArmor)
• Experience with network engineering
• Experience with HPC clusters, environments & tooling
• Experience with large-scale AI/ML training clusters
• Experience with machine learning/AI frameworks
• A passion for running your own bare-metal lab

Salary Range Information

Based on market data and other factors, the salary range for this position is approximately €157,170 - €225,990. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.