Site Reliability Engineer, Mistral AI
Mistral Cloud
+ Equity
More information about location
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
+ Equity
More information about location
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- Master’s degree in Computer Science, Engineering or a related field
- 5+ years of experience in a DevOps/SRE role
- Strong experience with bare metal infrastructure 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
- 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 the job involves
- We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our Cloud platform and customer facing applications
- You will work closely with our software engineers and product teams to ensure our systems meet and exceed our internal and external customers' expectations
- Design, build, and maintain scalable, highly available and fault-tolerant infrastructures
- 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 customer-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
- Drive continuous improvement in infrastructure automation, deployment, and orchestration
- Collaborate with software engineers to develop and implement solutions that enable safe and reproducible model-training experiments
- Help build a cloud platform offering an abstraction layer between science, engineering 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
Application process
- Introduction Call - 30 min
- Manager Interview - 30 min
- Technical Interview / System Design - 45 min
- Technical Interview / Deep Dive - 60 min
- Culture-fit Discussion - 30 min
- References
Salary benchmarks
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$548m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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