Site Reliability Engineer at Mistral (New York, NY)
Mistral· New York, NY·
Role details
Mistral at a glance
A French AI lab building open and frontier-grade large language models, with the full developer and enterprise stack around them.
Mistral is a French AI lab that builds open and frontier-grade large language models and sells the full stack around them: developer tooling, an agent studio, consumer and enterprise apps like Le Chat and Vibe, custom model training, and its own GPU compute. Its edge is deployment control, with open weights, EU hosting, and self-hosting for regulated and sovereign buyers.
$3B+ raised · latest: Series C · 1.7B euros · Sept 2025 · backed by ASML, Nvidia, Andreessen Horowitz, DST Global
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
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.
What You Will Do
As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.
Operations
- 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
- 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 to 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
What We're Looking For
- Master’s degree in Computer Science, Engineering or a related field
- 7+ years of experience in a DevOps/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 CloudFormation
- 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
Your application will be all the more interesting if you also have:
- experience in an AI/ML environment
- experience of high-performance computing (HPC) systems and workload managers (Slurm)
- worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...)
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 app.notion.com
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai
Why work at Mistral
- Culture: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- Remote/Hybrid/Office: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- Notable perks and benefits (from careers page):
- 20 weeks paid parental leave for all birthing parents.
- 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
- 6% 401k match (US) / 5% pension contribution (UK).
- Childcare support (reserved daycare seats or financial assistance).
- Meal allowances and transportation support.
- Fitness and wellness subsidies.
- Relocation and settling-in services.
- Financial and career planning support.
- Team composition: 900+ employees from 30+ nationalities; 50% female leaders.
- Interview process: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.