Serverless Containers Platform Lead (Go)

Mistral AI

Paris

On-site

EUR 140,000 - 210,000

Full time

12 days ago

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Benefits offered by this job

Healthcare coverage
Relocation support
Wellness programs

Job summary

Mistral AI, a sovereign AI cloud company, seeks a senior leader to manage the team building our serverless container platform. You will own end-to-end container orchestration on metal infrastructure, drive architectural decisions, and coach engineers to excel.

Expect close collaboration with product and business teams while shaping scalable, state-of-the-art AI infrastructure. You will balance hands-on architecture work with people leadership, guiding the team through complex backend challenges

Qualifications

  • 2+ years of real people leadership and team management.
  • Produced Go-based systems in production.
  • Built or operated container/workload platforms (orchestration, scheduling, isolation).
  • Deep Linux knowledge including namespaces and cgroups.

Responsibilities

  • Own the container platform end to end: image delivery, placement, routing, scaling across CPU and GPU.
  • Address cold-start latency: snapshotting, prewarming, caching, scale-from-zero.
  • Treat AI workloads as the normal case: GPU-backed containers, streaming responses, MCP servers.
  • Write Go and own architecture decisions with the team.
  • Grow engineers and set ownership standards; coach beyond comfort zone.
  • Lead people management: hiring, performance reviews, growth paths, feedback.
  • Collaborate with Product Managers to translate platform decisions into deployable products.

Skills

People leadership
Go production
Container orchestration
Linux internals
Backend infrastructure
Cross-functional collaboration

Job description

Mistral AI, a sovereign AI cloud company, seeks a senior leader to manage the team building our serverless container platform. You will own end-to-end container orchestration on metal infrastructure, drive architectural decisions, and coach engineers to excel.

Expect close collaboration with product and business teams while shaping scalable, state-of-the-art AI infrastructure. You will balance hands-on architecture work with people leadership, guiding the team through complex backend challenges

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