SRE specialized in High Performance Computing/AI

Scaleway 🌐

SRE - High Performance Computing 💻

About the job

• Join our new team specialized in HPC (High Performance Computing)
• Deploy and maintain multiple HPC clusters composed of Nvidia hardware
• Collaborate with Engineering teams to troubleshoot high-impact issues
• Ensure a high quality of service for customers using observability and monitoring technologies
• Manage the life cycle of HPC clusters in production and escalate hardware and software issues to suppliers
• Empower teammates to integrate and deploy software components across systems
• Implement best stability, resiliency, scalability, security, and performance practices

Minimum qualifications

• Experience in system programming using Python, Bash, Go, etc.
• Demonstrated ability to troubleshoot production system failures
• Positive mindset and desire to work with a team
• Passion for automation and incremental improvements on tooling
• Experience with Linux systems based on Debian and Centos derivatives
• Experience with batch job schedulers like Slurm, OAR, SGE
• Good understanding of computer networks (TCP/IP, DNS, load balancing, IPv6, firewall, network, Infiniband, vlan/partition, etc.)
• Storage knowledge (large pools, NAS, S3, etc.)
• Experience with Nvidia, Cuda, MPI
• Good command of English

Preferred qualifications

• Ability to meticulously identify and solve any kind of bug in any codebase
• Experience with infrastructure-as-code and continuous deployment
• Experience dealing with physical hardware automation
• Experience monitoring & logging systems
• Experience handling account management (LDAP)
• Knowledge of at least one cloud platform and related use-cases
• Experience as an OSS contributor and/or maintainer
• Knowledge in AI / LLM / ML / neuronal networks

Responsibilities

• Create or optimize tools & documentation to identify, diagnose, and solve production incidents
• Troubleshoot high-impact issues by working with multiple Engineering teams
• Take on-call responsibilities, mitigate issues encountered in production, and answer customers in real time
• Ensure a high quality of service for customers by leveraging observability and monitoring technologies
• Manage the life cycle of HPC clusters in production and take part in the escalation of hardware and software issues to suppliers
• Empower teammates to swiftly integrate and deploy software components across systems
• Help implement best stability, resiliency, scalability, security, and performance practices across systems

Technical Stack

• Python/Bash
• MySQL
• S3 API, Lustre, NAS
• Sentry, Prometheus, Grafana, ElasticSearch, Fluentd, Kibana
• Ansible, Salt
• GitLab, Nexus
• Ubuntu, Debian, CentOS
• Nvidia hardware and software
• MPI, Module, AI software
• Slurm
• K8s
• Jira, Confluence, Slack, GSuite

Location

• Paris or Lille (France)

Recruitment Process

• Screening call (30 mins) with the recruiter
• Manager Interview (45 mins)
• Technical Interviews (1h 30 mins)
• HR Interview (45 mins)
• Offer sent within 48 hours

Don't meet all the requirements? Apply anyway!

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