Site Reliability Engineer, Mistral AI
Mistral Cloud
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 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 the job involves
- 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
- 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
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
$543.1m
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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