Site Reliability Engineer, Mistral Cloud
Mistral AI is hiring a Site Reliability Engineer, Mistral Cloud for a remote role open to applicants in United States. Level rates it ; you can apply on Mistral AI.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Kubernetes, Docker and Terraform.
- Level lists 237 other open roles at Mistral AI.
- The role was posted in the last few days.
AI in this role
Design, scale, and maintain the cloud infrastructure and reliability of Mistral's AI platform and customer-facing applications.
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, ideally with 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.
Privacy Policy
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
How we rate this
Site Reliability Engineer, Mistral Cloud at Mistral AI rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where monitoring was part of your work. What did you do?
- Tell me about a project where incident response was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Site Reliability Engineering, Cloud Infrastructure, Monitoring, Incident Response, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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