At a Glance
- Tasks: Shape the reliability and performance of our Cloud platform while collaborating with software engineers.
- Company: Join a cutting-edge tech company focused on AI and high-performance computing.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Contribute to open-source projects and engage in continuous learning.
- Why this job: Make a real impact in a fast-paced startup environment with innovative technologies.
- Qualifications: Master’s degree and 5+ years in DevOps/SRE with strong technical skills.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- 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.
Site Reliability Engineer (Mistral Cloud) in London employer: Mistral AI
As a Site Reliability Engineer at Mistral Cloud, you will join a dynamic and innovative team dedicated to pushing the boundaries of cloud technology. Our collaborative work culture fosters continuous learning and growth, providing ample opportunities for professional development in a fast-paced startup environment. With a focus on cutting-edge AI solutions and a commitment to reliability and performance, Mistral Cloud offers a unique chance to make a meaningful impact while enjoying competitive benefits and a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Site Reliability Engineer (Mistral Cloud) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Mistral AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Mistral AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Mistral AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Mistral AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Site Reliability Engineer (Mistral Cloud) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Mistral AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mistral AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Mistral AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Mistral AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
