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Site Reliability Engineer

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Mistral AI
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, SRE/Site Reliability, IT Support
Job Description & How to Apply Below
Location: Greater London

Site Reliability Engineer

Join to apply for the Site Reliability Engineer role at Mistral AI

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer-facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.

Location:

Remote – Europe
Reporting line:
Team Lead, Site Reliability Engineer

What you will do 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 to ensure optimal system performance and minimize downtime
  • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs
  • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences
Development (50%)
  • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform
  • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments
  • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure
  • Design and develop new workflows and tooling to improve the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.)
  • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements
  • Document processes and procedures to ensure consistency and knowledge sharing across the team
  • Contribute to open-source projects, research publications, blog articles and conferences
About You
  • Master’s degree in Computer Science, Engineering or a related field
  • 7+ years of experience in a Dev Ops/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 Cloud Formation
  • 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
Preferred Qualifications
  • Experience in an AI/ML environment
  • Experience with high-performance computing (HPC) systems and workload managers (Slurm)
  • Worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast…)
Location & Remote

This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in‑person collaboration to foster strong relationships and seamless communication within our team.

In certain specific situations, we will also consider remote candidates based in one of the…

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