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Mistral AI

Software Engineer, Compute Infrastructure

Reposted 17 Days Ago
Be an Early Applicant
In-Office or Remote
9 Locations
Mid level
In-Office or Remote
9 Locations
Mid level
As a Software Engineer, you will design, build, and manage a scalable Kubernetes-based platform for AI workloads, focusing on reliability and security. You'll work on the full lifecycle of cluster management, drive infrastructure innovation, and lead incident resolution.
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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 building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a Software Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform.

Reporting line: VP, Mistral Compute

What you will do

As a Software Engineer in our Compute team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms.

Key Responsibilities:

Design, build, and operate a scalable Kubernetes-based platform to host large-scale AI and HPC workloads, ensuring high performance, reliability, and security.
Own the full lifecycle of cluster management, from bootstrapping and provisioning to global operations, by integrating and developing the necessary software components—including automation, monitoring, and orchestration tools.
Drive infrastructure innovation by designing workflows, tooling (scripts, APIs, dashboards), and CI/CD pipelines to optimize system reliability, availability, and observability.
Champion a zero-trust security model, strengthening IAM, networking (VPC), and access controls to safeguard the platform.
Develop user-centric features that simplify operations for both sysadmins and end customers, reducing friction in daily workflows.
Lead incident resolution with rigorous root-cause analysis to prevent recurrence and improve system resilience.

About you

• Strong proficiency in software development (preferably Golang) and knowledge of software development best practices
• Successful experience in an Infrastructure Engineering role (SWE, DevOps, SRE, Platform...)
• Deep understanding of Kubernetes internals and hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Openstack...)
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK, Datadog...)
• Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)
• Experience working against reliability KPIs (observability, alerting, SLAs)
• Excellent problem-solving and communication skills
• Self-motivation and ability to thrive in a fast-paced startup environment

Now, it would be ideal if you also had:
• Experience with HPC workload managers (Slurm) and distributed storage systems (Lustre, Ceph)
• Demonstrated history of contributing to open-source projects (e.g., code, documentation, bug fixes, feature development, or community support).

Location & Remote

This role is primarily based in one of our European offices — Paris, France and London, UK. We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team.

In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In any case, we ask all new hires to visit our Paris HQ office:
•  for the first week of their onboarding (accommodation and travelling covered)
•  then at least 2 days per month

What we offer

💰 Competitive salary and equity
🧑‍⚕️ Health insurance
🚴 Transportation allowance
🥎 Sport allowance
🥕 Meal vouchers
💰 Private pension plan
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship

Top Skills

CloudFormation
Datadog
Docker
Elk
Go
Grafana
Kubernetes
Openstack
Prometheus
Terraform

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