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- Tasks: Ensure reliability and performance of AI platforms while collaborating with software engineers.
- Company: Join Mistral AI, a pioneering company transforming the future of AI.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a meaningful impact in a dynamic team passionate about AI innovation.
- Qualifications: 7+ years in DevOps/SRE, strong cloud computing skills, and scripting proficiency.
- Other info: Work in a collaborative environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Site Reliability Engineer role at Mistral AI.
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. 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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact.
Role Summary: 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.
Location: Paris or London
Reporting line: Head of Engineering
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 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.
About You:
- 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.
- Nice to 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...).
Site Reliability Engineer employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Mistral AI on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or open-source projects related to site reliability engineering. This not only sharpens our skills but also makes us stand out to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts like cloud computing, CI/CD, and monitoring tools. Practising coding challenges can help us ace those tricky questions that might come up!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our experience aligns with Mistral AI's mission and values.
We think you need these skills to ace Site Reliability Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Site Reliability Engineer role. Highlight your experience with cloud computing, CI/CD tools, and any relevant projects that showcase your skills in reliability and performance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Mistral AI. Don’t forget to mention specific experiences that align with the job description.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex issues in production environments. We love seeing candidates who can demonstrate their troubleshooting prowess and ability to improve system reliability.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Kubernetes, Terraform, and CI/CD tools. Brush up on your scripting skills in Python or Go, as you might be asked to solve a problem on the spot.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific instances where you've tackled reliability issues or improved system performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Their Culture
Familiarise yourself with Mistral AI’s values and culture. They appreciate creativity and collaboration, so think of examples that demonstrate your team spirit and innovative mindset. This will help you connect with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, challenges they face, or how they measure success in the SRE role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
