Site Reliability Engineer

Requirements

• Master’s degree in Computer Science, Engineering or a related field
• 7+ years of experience in a DevOps/SRE role
• Strong experience with cloud computing and highly available distributed systems
• Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)
• Experience working against reliability KPIs (observability, alerting, SLAs)
• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...)
• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
• Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices
• Strong understanding of networking, security, and system administration concepts
• Excellent problem-solving and communication skills
• Self-motivated and able to work well in a fast-paced startup environment

Nice to Haves

• Experience in an AI/ML environment
• Experience of high-performance computing (HPC) systems and workload managers (Slurm)
• Worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...)

What you will be doing

• Operations (50%)
  • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads
  • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters
  • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)
  • Implement and improve monitoring, alerting, and incident response systems
  • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems)
  • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis
• Development (50%)
  • Drive continuous improvement in infrastructure automation, deployment, and orchestration
  • Collaborate with AI/ML researchers to implement solutions
  • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure
  • Design and develop new workflows and tooling to improve system performance
  • Collaborate with the security team to ensure best security practices
  • Contribute to open-source projects, research publications, blog articles and conferences

Perks and Benefits

• Remote - Europe location