Source description
About the role
10+ years of experience in a relevant technological field, with demonstrated experience managing managers and structuring multi-team organizations.
Strong IT operations foundation: identity and access management, endpoint lifecycle, SaaS stack administration, support operations, vendor management, and security controls at scale.
Solid Cloud & Infrastructure Operations background: multi-cloud architecture and cost governance, infrastructure-as-code, container orchestration, network and storage management, reliability engineering, and capacity planning across production and research environments.
Hands-on Cybersecurity expertise: threat detection and incident response, vulnerability management, security architecture review, compliance frameworks, data protection controls, and embedding security practices across engineering and operational workflows.
Proven MLOps or ML infrastructure experience: reproducible pipelines, experiment tracking, data and model versioning, CI/CD for ML workflows, and observability in research and engineering environments.
Ability to operate across a technically diverse organization: PhD-level researchers, hardware engineers, software engineers, and business stakeholders. You are comfortable with ambiguity, but you do not let ambiguity become chaos: you create structure, make trade-offs explicit, and drive decisions.
Strong execution discipline: roadmap ownership, budget management, prioritization under constraint, measurable delivery. You can zoom out to define strategy and zoom in to debug a process, challenge an architecture, or unblock a team.
You combine a strong service mindset with the ability to enforce standards. You care deeply about user experience, and you know when pragmatism must give way to rigor.
Fluent in French & English.
Nice to have:
Experience in deeptech, quantum, semiconductor, aerospace, HPC, or another R&D-intensive hardware environment.
Experience supporting scientific computing environments: GPU/CPU clusters, SLURM, Kubernetes, distributed systems.
Experience managing IT operations across multiple sites.
Experience with AI tooling governance and secure adoption of LLM tools within a technical organization.
More at Alice & Bob
