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Site Reliability Engineer (SRE) - AI GPU Clusters

Scaleway

Lyon · Hybrid Contract 2w ago

About the role

Our Story

🇪🇺 Join Scaleway and shape the sovereign cloud of tomorrow!

Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies.

Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector.

With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants.

Every day, thanks to our fast‑growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customers across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast‑growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen.

📍 Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon.

#HPC #AI #GPU #CLUSTERS


Why We Need You?

Our growth is driving us to strengthen our SRE team to support and scale our production environments.

Your mission will be to build and maintain reliable, observable, and secure infrastructure in order to ensure optimal service availability for our customers around the world.


Your Future Team

We work in a collaborative and international environment where the diversity of Scalers, combined with a spirit of sharing, helps bring new projects to life every day, advancing our ambitions together.

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.


Your Daily Routine

  • 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

About You

Soft Skills

  • 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

Hard Skills

  • 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 You Will Find at Scaleway ++++

  • Hybrid work: Up to 3 days of remote work per week.
  • Offices: Spacious, dynamic workspaces with bold design, conveniently located near public transport; most feature outdoor spaces (terraces) and bike parking facilities.
  • Dining: Chef‑provided healthy meals at headquarters; breakfast available year‑round at all sites. Scalers at regional sites enjoy a Swile card for lunches.
  • Well‑being commitments: Access to a gym, daycare places, or discounted services for caring services, supporting a balanced life.
  • International environment: Dozens of nationalities; English is as widely spoken as French.
  • Career & Mobility: Managers value internal mobility; opportunities to transition to other entities within the Iliad Group are accessible to all Scalers.

Why Join the Scaleway Adventure?

  • A rich and diverse product offering: Over 100 public cloud products in IaaS, PaaS, and AI.
  • A cutting‑edge technical environment: Modern infrastructures, including high‑performance bare metal servers, to tackle exciting technical challenges.
  • Commitment to responsible cloud: Data centers powered solely by renewable energy since 2017, minimizing ecological footprint and holding top‑level certification.

The Next Steps …

  • Discovery call with a recruiter (30 min)
  • Interview with the manager to understand your technical skills and approach to the role (45 min)
  • Technical interview to validate your expertise (1 h)
  • Interview with the Head of the Tribe to deepen your discussions and assess your fit with the team (45 min)
  • HR interview to tour our offices and meet your future colleagues

Version française disponible ici


At Scaleway, we are committed to building an inclusive and respectful workplace where everyone has a fair opportunity to thrive.

All applications are considered with care, regardless of age, gender, sexual orientation, ethnic or social background, religion, disability, or any other characteristic.

We believe great ideas come from everywhere, and everyone, which is why you should definitely apply.

Requirements

  • 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)

Responsibilities

  • 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

Benefits

gym accessdaycare placesdiscounted services for caring servicesSwile card for lunches

Skills

AnsibleAWXBashBGPCI/CDDockerElasticGitLabGoGrafanaHPCInfrastructure-as-CodeIPv6Linuxload-balancingmonitoringnetworkingobservabilityPostgreSQLPrometheusPythonRustSaltserverlessTCP/IP

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