Data Centre Operations Engineer

About the role

Crusoe, a vertically integrated AI infrastructure company, is hiring a Data Centre Operations Engineer in Reykjanesbæ. The role is critical to keeping the cloud platform reliable and available, and involves troubleshooting complex server issues, supporting hardware testing and working with vendors. It is a full-time position.

Key responsibilities

• Troubleshoot and repair hardware failures in complex GPU-based servers, both air and liquid cooled, to keep downtime minimal
• Support burn-in and stress testing of new hardware with the Infrastructure Systems team and qualify new hardware
• Open and manage support tickets with hardware vendors, act as the data centre liaison for vendor support staff and keep a hardware issue tracker
• Maintain an accurate spares inventory and replenish stock as needed
• Help the Cloud Deployments team rack and cable servers
• Keep detailed records of hardware issues and resolutions and communicate with internal teams and vendors
• Provide occasional after-hours support for critical issues

Required profile

• Significant experience diagnosing and repairing complex GPU-based servers (air and liquid cooled)
• Four or more years of hands-on experience in a data centre environment
• Associates degree or equivalent experience in an IT-related field
• Ability to work in a physically demanding environment and to lift 50 lbs
• Bonus points: HPC experience, certifications such as CompTIA Server+ or CCNA, scripting (Python, Bash), DCIM tools, liquid cooling experience, startup environment experience

Required skills

• Deep understanding of server hardware, BMC-based manageability, BIOS settings and firmware deployment
• Familiarity with InfiniBand switches and network topology
• Basic Linux system administration

What we offer

• Full social security coverage and contributions to provident, trade union and pension funds, with optional Global Life Insurance
• Generous leave including maternity, paternity, parental and sick leave
• Compensation as salary or hourly, depending on education, experience and market data