Site Reliability Engineer (m/f/d)

gridscale GmbH
📍 Tempo integral Qualquer nível Recentemente

Descrição da vaga

<p><span style="color: #333333">At our company, it’s all about #OneTeam! Join gridscale and help shape the future of the cloud together with OVH.</span></p><p><span style="color: #333333">As a leading tech company, we’ve been working for over two decades to reduce our environmental footprint - with innovative solutions and an open cloud designed to be sustainable from the ground up: #SustainableByDesign.</span></p><p style=";"></p><h4><strong>Our Tech Stack 🚀</strong></h4><p>OpenStack · Kubernetes · KVM · Linux · Bare-metal </p><p>· Ansible · Terraform · FluxCD/ ArgoCD · Git · Go · Python </p><p>· Claude Code/ Cursor/ agentic coding tooling<br /></p><h3><strong>Your Role💻</strong></h3><p>You'll help build, operate, and industrialize OVHcloud's on-premise cloud platform (OPCP). You'll join a small, senior team that owns the OpenStack-based infrastructure and the Kubernetes / GitOps stack our customer-facing cloud runs on and that treats AI-assisted engineering as a first-class part of how we work.</p><p>The platform is actively in build mode, so joining now means real influence on the architecture, the automation strategy, and how we adopt AI in platform engineering. As a Senior, you shape the focus of your role around your strengths and interests: there's a clear backbone of automation, compute-lifecycle, and platform work, plus an explicit AI-substrate workstream. You're at home in a security-oriented, highly automated (GitOps) environment, keep an overview in ambiguous situations, and make well-founded decisions on that basis.</p><p style=";"></p><h3><strong><span style="color: #000000">Your Tasks</span></strong></h3><ul><li><p>Design and build OpenStack-based on-prem infrastructure that deploys itself autonomously - discovering available hardware and bringing up a functional datacenter in minutes.</p></li><li><p>Develop Infrastructure as Code with Ansible and Terraform - typically spec-first with LLM assistance, then human-validated; push this further via custom agent / sub-agent setups, agentic test generation, and prompt-engineered review loops.</p></li><li><p>Drive the ongoing development of our Kubernetes stack and GitOps workflows (FluxCD / ArgoCD).</p></li><li><p>Own the full lifecycle of our compute infrastructure - from bare-metal (firmware, provisioning, hardware health) through hypervisors to virtual compute nodes - and build the automation that keeps capacity healthy and rolls out updates without disturbing tenant workloads.</p></li><li><p>Build and extend the AI substrate that compounds our output: Markdown knowledge bases as retrieval substrate, agentic prototypes for incident triage and capacity planning, and deeper integration of agentic coding tools into daily work.</p></li><li><p>Contribute to the self-healing direction, turning today's manual runbooks into tomorrow's reasoning agents. Auto-remediation isn't a separate team here - it's how platform work is meant to land.</p></li><li><p>Design and implement test suites aligned
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