Site Reliability Engineer, Mistral Cloud

Mistral AI; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Retirement plans

Wellness programs

Meal allowances

Transportation allowances

Job summary

Mistral AI is seeking a Site Reliability Engineer to join the Cloud Platform team. You will shape reliability, scalability and performance of our Cloud platform and customer-facing apps, collaborating with software and product teams to exceed expectations.

You will design and maintain scalable infrastructure, implement monitoring and incident response, and automate deployment and orchestration to support AI workloads at scale.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related field.
• Experience in DevOps or SRE roles with strong expertise in bare metal infrastructure and distributed systems.
• Hands-on experience with in-production troubleshooting, root cause analysis, and on-call rotations.
• Proficiency with reliability KPIs, observability, alerting, and SLAs.
• Experience with CI/CD, containerization, and orchestration (Docker, Kubernetes).
• Knowledge of monitoring, logging, alerting, and observability tools (Prometheus, Grafana, ELK, Datadog).
• Familiarity with infrastructure-as-code tools (Terraform, CloudFormation).
• Proficiency in scripting languages (Python, Go, Bash) and strong software development basics.
• Networking, security, and system administration concepts.
• Excellent problem-solving and communication skills; collaborative mindset.
• Experience in AI/ML environments or HPC is a plus.

Responsibilities

• Design, build, and maintain scalable, highly available infrastructures for the Cloud platform.
• Operate systems in production, handle on-call responses and scaling.
• Improve monitoring, alerting, and incident response to minimize downtime.
• Develop workflows for CI/CD, containerization, orchestration, logging.
• Participate in on-call rotations and perform root cause analysis to prevent recurrence.
• Advance infrastructure automation, deployment, and orchestration.
• Collaborate with software engineers to enable model-training experiments.
• Build a cloud platform that abstracts infrastructure complexities for teams.
• Create workflows and tooling to improve reliability and performance.
• Ensure security best practices in collaboration with the security team.
• Document processes for knowledge sharing across the team.

Education

Master’s degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

Datadog

Terraform

CloudFormation

Python

Go

Bash

Job description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers.

This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime.

What You Will Do

• Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform.

• Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling.

• Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance.

• Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging.

• Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence.

• Drive continuous improvement in infrastructure automation, deployment, and orchestration.

• Collaborate with software engineers to enable safe and reproducible model-training experiments.

• Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams.

• Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance.

• Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team.

• Document processes and procedures to ensure consistency and knowledge sharing across the team.

What We're Looking For

• A Master’s degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems.

• Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations.

• Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs.

• Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes.

• Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog.

• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.

• Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices.

• Solid grasp of networking, security, and system administration concepts.

• Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.

• Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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