Salary not listedPosted 2mo ago
Real job — pulled straight from Mistral AI’s careers page · Verified June 18, 2026 · No reposts.
Job description
Mistral AI is hiring a Site Reliability Engineer — a full-time, based in New York, NY role. Apply directly on Mistral AI's careers page below.
Site Reliability Engineer - NYC
Team: Engineering & Infra
Location: New York
Commitment: Full-time
Workplace Type: hybrid
About Mistral
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. See more about our culture on https://mistral.ai/careers.
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.
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 to 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
Your application will be all the more interesting if you also 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...)
By applying, you agree to our Applicant Privacy Policy.
Location & Work Policy
This role is based in our NYC office, and we’re currently considering candidates who either already live in the area or are open to relocating. We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.
What we offer
💰 Competitive salary and equity
🚑 Healthcare: Medical/Dental/Vision covered for you and your family
👴🏻 401K : 6% matching
🏝️ PTO : 18 days
🚗 Transportation: Reimburse office parking charges, or $120/month for public transport
🏀 Sport: $120/month reimbursement for gym membership
🥕 Meal stipend: $400 monthly allowance for meals
🌎 Visa sponsorship
🤝 Coaching: we offer BetterUp coaching on a voluntary basis
By applying, you agree to our Applicant Privacy Policy.
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Frequently asked questions
What skills are required for Site Reliability Engineer at Mistral AI?
The required skills for Site Reliability Engineer at Mistral AI include: Kubernetes, Terraform, Docker, Prometheus, Grafana, Datadog, Python, Go, Bash, CI/CD, Cloud Computing, Networking.
What is the seniority level for Site Reliability Engineer at Mistral AI?
Site Reliability Engineer at Mistral AI is a Senior level position.
How do I apply for Site Reliability Engineer at Mistral AI?
You can view the full description and apply for Site Reliability Engineer at Mistral AI on EchoJobs: https://echojobs.io/job/mistral-ai-site-reliability-engineer-nyc-4059d.