EggAIFull-timeRemote (EU only)The RoleA Senior Platform Engineer with deep, hands‑on experience designing and operating cloud‑native platforms in production.You will work in a team of 2 to 6 engineers on a client project — one project at a time, so you go deep rather than spreading yourself across accounts. Clients come to us because we work at the forefront of AI in the enterprise; you build and run the platform their AI systems actually land on, alongside their own infrastructure engineers.What You’ll DoDesign, build and operate the Kubernetes platform for the engagement, defined in Terraform — you own it in production, not just at handoverLead architecture discussions for your part of the platform, with the tech lead supporting youTake ownership: pick up the ambiguous problem, chase down the answer, and say so when something is going wrongBuild the self‑service paths the delivery engineers use, so they aren’t blocked on youOwn reliability for what you run — SLOs, observability, incident response, costWork directly with the client's engineers, in a normal team rhythm: daily standups, planning, retrospectives, code and design reviewWhat We’re Looking For5+ years in infrastructure / platform / SRE roles, at least 3 of them running production Kubernetes — cluster design and operation, workload lifecycle, RBAC, secrets, multi‑tenancyInfrastructure as Code in production: Terraform (primary), plus Helm or Kustomize — owned over time, not written onceA major cloud in depth (AWS, GCP or Azure): networking, compute, managed databases, IAM and least‑privilege, and a habit of watching what it costsCI/CD and GitOps: building pipelines and running ArgoCD, Flux or equivalentObservability and reliability: metrics, logs and tracing (Prometheus/Grafana, OpenTelemetry or similar), SLOs,



and on‑call incident responseScripting and tooling: Bash, plus Python or GoSecurity as a first‑class concern: secrets management, supply‑chain and vulnerability scanningClient‑facing ability: can hold a technical conversation with a client's architects and engineersDesired qualitiesPlatform‑thinking mindset: builds for internal customers, not just operations tasksPragmatic about trade‑offs between reliability, cost, and engineering velocityThinks about blast radius before shippingClear written communication — design docs, trade‑offs, post‑incident reviewsNice to haveService mesh, multi‑cluster or multi‑region experienceConsulting or professional‑services backgroundAI/ML or agentic workloads in productionEU sovereign cloud, data residency or public sector infrastructure experienceAbout EggAIAgentic workforces are inevitable. Making them work is our mission.EggAI is building the engineering methods, operating models, and reusable technology to deploy agentic workforces with the quality and control required for sustained business impact.Working closely with enterprise clients, we design, implement and operate agentic systems that evolve from augmenting individual tasks to autonomously executing end‑to‑end processes alongside people—resilient, controlled, and scalable. We begin with the client problem, select the technical approach that best serves it, and remain accountable through deployment, adoption, and operations. Each deployment strengthens the next by turning production learning into reusable capability.We are an experienced, international team working across Europe. We set high standards, take ownership of outcomes, and value clear thinking, candid feedback, and the ability to turn ideas into tangible results.#J-18808-Ljbffr

📌 Platform Engineer — Senior (Barcelona)
🏢 EggAI Technologies
📍 Barcelona