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Site Reliability Engineer

Mistral.aiParis, FranceFull-timeSalary not listed · Typical pay in FrancePosted Nov 13, 2026

Mistral.ai has an opening for a Site Reliability Engineer in Paris, France. The listing describes it as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Mistral.ai has an opening for a Site Reliability Engineer in Paris, France. The listing describes it as a full-time position.

From the advert, the main requirements are 7+ years of experience.

The advert mentions Python, Kubernetes, Docker, Terraform, CI/CD, DevOps, SRE and observability among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Benefits mentioned in the advert: pension or retirement plan, parental leave and relocation support.

Visa sponsorship is not mentioned. Applicants from outside France should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 13, 2026.

Employer
Mistral.ai
Location
Paris, France
Job type
Full-time
Pay
Not stated by the employer
Experience asked
7+ years
Found
Nov 13, 2026 on Arbeitnow
Employer text
624 words, about 3 min to read
Skills named in the advert
PythonKubernetesDockerTerraformCI/CDDevOpsSREobservabilityPrometheusGrafana
Before you apply
  • Apply only on the official page (arbeitnow.fr). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 7+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, Kubernetes, Docker and Terraform) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 14, 2026
Pay benchmark
Average wage, France
EUR 44,304 average / year

Source: OECD Average annual wages, 2025

Cost of living · Paris
85.7 vs New York = 100

UN living-cost index for Paris (ICSC post adjustment 50.5), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Talent Passport: Qualified employees, researchers, artists, investors; multi-year permit
  • Employee (salarié) visa: Employer work authorisation from the labour office
  • Temporary worker visa: Contracts under 12 months
Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01About 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.

02The Role

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

This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform.

03What You Will Do

  • Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads.

  • Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters.

  • Operate systems and troubleshoot issues in production, 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.

  • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform.

  • Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments.

  • Build a cloud-agnostic 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.

  • Work with the security team to ensure infrastructure adheres to best practices and compliance requirements.

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

04What We're Looking For

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

  • 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing 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.

05What 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.

06Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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