{"id":1028651,"url":"https://alion.io/job/mistral-ai-technical-support-engineer-l2-compute","title":"Technical Support Engineer (L2) - Compute","company":{"id":22,"name":"Mistral AI","domain":"mistral.ai","url":"https://alion.io/company/mistral-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":182,"ghost_share":0,"stale_share":0.011,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Support","role_family":"Support","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France","San Francisco, United States"],"countries":["FR","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":90000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Mistral SDK","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Ansible","optional":true},{"name":"AWS","optional":true},{"name":"Bash","optional":true},{"name":"containerd","optional":true},{"name":"CoreWeave","optional":true},{"name":"CUDA","optional":true},{"name":"DNS","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"HPC","optional":true},{"name":"kubectl","optional":true},{"name":"Linux","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Tcpdump","optional":true},{"name":"Terraform","optional":true},{"name":"TPU","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-09-18T12:16:59Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-14T18:48:05Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":56},"description":"About Mistral\nMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.\nWe 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.\nMistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture.\nIn this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale.\nThis is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.\nKey Responsibilities\nFirst Customer’s Point of Contact\nAct as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries.\n\nTriage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution.\n\nGather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently.\n\nProvide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.\n\nTechnical Support\nServe as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for:\nGPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures).\n\nKubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations).\n\nBare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters).\n\nDiagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems.\n\nAnalyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues.\n\nParticipate in on-call rotations to provide 24/7 support for critical compute systems\n\nNice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.\n\nKubernetes & Containerization\nDebug Kubernetes clusters with a focus on:\nPod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff).\n\nNetworking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses).\n\nResource management (e.g., Requests/Limits, QOS classes, node affinity).\n\nTroubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors.\n\nCollaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.\n\nDocumentation & Process Improvement\nCreate and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting).\n\nContribute to post-mortems with actionable follow-ups to prevent recurring incidents.\n\nTrain internal teams on best practices for compute infrastructure and debugging.\n\nHelp define and refine support processes as a founding member of the new Compute Support team.\n\nWhat We’re Looking For\nRequired Skills & Experience\n5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization).\n\nDeep Linux/Unix expertise:\nDebugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling).\n\nPerformance tuning (e.g., sysctl, ulimit, filesystem optimizations).\n\nNetworking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH).\n\nStorage management (e.g., LVM, RAID, NVMe, GPU-local storage).\n\nHands-on Kubernetes experience is mandatory:\nDebugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl).\n\nNetworking and storage (e.g., CNI plugins, PersistentVolumes).\n\nResource management (e.g., Requests/Limits, QOS classes).\n\nFamiliarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).\n\nBasic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks).\n\nExperience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus.\n\nExcellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders.\n\nCustomer-focused mindset with a passion for resolving issues efficiently and improving system reliability.\n\nAbility to work in on-call rotations and handle high-pressure situations with a structured, calm approach.\n\nCommitment to meeting tight SLAs for issue acknowledgment, triage, and first response.\n\nWhat We Offer\nWe offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.\nFor the most up-to-date details on benefits available in your location, please refer to our Benefits page.\nPrivacy Policy\nYour privacy matters to us. 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