Engineering Team Lead, Managed K8s

🕒 September 23

🌐 France, Switzerland, +6 more countries – Remote

🇫🇷 France – Remote 🇨🇭 Switzerland – Remote 🇪🇸 Spain – Remote 🇳🇱 Netherlands – Remote 🇵🇱 Poland – Remote 🇦🇹 Austria – Remote 🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 51 days.
• Jobs at this company usually fill in 57 days.
• Reposted once.
• No salary listed.

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Mistral AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Mistral AI is a company that builds frontier large language and generative AI systems, offering platforms, models, and services to help organizations develop, customize, and deploy AI agents and applications. They provide products like Vibe (an AI agent for long-horizon work and coding variants), Studio (tools to build, test, and run AI agents and apps), Forge (training, aligning, and evaluating custom models), and Compute (infrastructure for training and inference). They also offer APIs, models (e. g. , Mistral Medium 3. 5, Mistral Small 4, Mistral OCR 4, Voxtral TTS), enterprise services for model customization and deployment, and industry-specific solutions for finance, public sector, manufacturing, energy & utilities, and transportation. Mistral emphasizes on self-hosted and cloud-hosted deployment options, privacy-focused enterprise deployments, and provides frontier-scale infrastructure and expert services for building tailored AI solutions.

📋 Description

• Manage and grow the engineering team through hiring, coaching, performance management, growth paths, and feedback • Spend approximately half of the time on architecture decisions and difficult technical problems • Own the Kubernetes product end to end, from metal to on-demand platform • Design and ship the Kubernetes control plane, including scheduling, operators, provisioning, and node lifecycle • Own control-plane reliability and respond to critical incidents • Reduce cluster provisioning time through automation • Partner with Product Managers on priorities, initiative scope, and technical/business tradeoffs • Define team processes and execution rituals • Build systems supporting GPU training, inference, and general-purpose compute

🎯 Requirements

• 2+ years of real people leadership • Experience managing engineers, including hiring, coaching, giving honest feedback, and developing team members • Production systems experience in Go • Experience running Kubernetes in production • Ideally, experience building Kubernetes operators, schedulers, or controllers • Direct Linux experience • Experience running GPU workloads on Kubernetes, or confidence in owning that domain quickly • Extensive experience building backend or infrastructure systems • Experience partnering with product, design, and business teams to ship software to real users • Low-ego, team-first mindset

🏖️ Benefits

• Healthcare coverage • Parental leave • Retirement plans • Relocation support • Wellness programs • Meal allowances • Transportation allowances • Other location-specific perks

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