Site Reliability Engineer (AI GPU Clusters)

Requirements

• Proactive and solution-oriented mindset
• Passion for automation and continuous improvement
• Strong collaboration and communication skills
• Ability to work independently and in a team
• Willingness to mentor and share knowledge
• Experience with Go, Python or Rust
• Strong scripting skills (Bash, Python)
• Hands-on experience with Linux systems (Ubuntu/Debian)
• Hands-on experience with GPU & HPC infrastructure
• Knowledge of networking (TCP/IP, DNS, BGP, load-balancing, IPv6, etc.)
• Familiarity with monitoring and logging tools (Prometheus, Grafana, Elastic, etc.)
• Comfortable with Infrastructure-as-Code (Ansible, Salt, AWX, etc.)
• Experience managing relational databases (PostgreSQL)
• Understanding of CI/CD pipelines (GitLab)
• Comfortable with English (written and spoken)

What the job involves

• You will join a newly formed team dedicated to building and operating Scaleway’s future AI infrastructure
• As part of this group, you will design, maintain, and scale core systems and observability tools, partner with product teams, and ensure the reliability and performance of AI services across Scaleway
• Build a large AI infrastructure with monitoring, diagnosis, and remediation of production incidents- Troubleshoot high-impact production issues in collaboration with other engineering teams
• Participate in an on-call rotation to handle incidents and ensure service continuity
• Implement and maintain observability solutions to monitor AI infrastructure and application health
• Contribute to AI infrastructure lifecycle management across different environments and countries
• Promote and apply best practices in terms of stability, resiliency, scalability, and security
• Maintain clear technical documentation for tools and procedures
• Contribute to system and tool evolution based on production feedback
• Collaborate closely with development teams to ensure infrastructure readiness- Participate in team rituals and knowledge-sharing initiatives