Software Engineer, Mistral AI

• 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

Desirable

• 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
• 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
• 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