Site Reliability Engineer (m/f/d)

At our company, it’s all about #OneTeam! Join gridscale and help shape the future of the cloud together with OVH.

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.

OpenStack · Kubernetes · KVM · Linux · Bare-metal

· Ansible · Terraform · FluxCD/ ArgoCD · Git · Go · Python

· Claude Code/ Cursor/ agentic coding tooling

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.

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.

• Design and build OpenStack-based on-prem infrastructure that deploys itself autonomously - discovering available hardware and bringing up a functional datacenter in minutes.

• 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.

• Drive the ongoing development of our Kubernetes stack and GitOps workflows (FluxCD / ArgoCD).

• 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.

• 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.

• 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.

• Design and implement test suites aligned with functional and technical specs (non-regression, performance, security).

• Document and package the solution so users can deploy and operate it without friction, and keep improving the platform based on telemetry and user feedback.

• Act as a technical reference and mentor across automation, platform engineering, and AI-tooling topics.
  

• Production experience with Kubernetes and the cloud-native ecosystem.

• Production-quality Go and/or Python.

• Deeper agentic tooling craft (Claude Code, Cursor, Aider): custom agent / sub-agent setups, hooks, prompt engineering, your own workflows or skills and managing a Markdown-first knowledge base as substrate for AI workflows.

• Advanced compute-node tuning (CPU pinning, NUMA, hugepages, SR-IOV / PCI passthrough) and basic network debugging (VLANs, BGP).

• Observability tooling (Prometheus, Loki, Grafana, etc.) and auto-remediation / self-healing systems (StackStorm, Event-Driven Ansible, or similar).

• Experience in security-critical environments and with edge or multi-site deployments.

• A continuous-improvement mindset and ownership for what you build.

• You see AI tooling as a structural shift in how engineering gets done - not a trend, not a threat and want to shape how the team adopts it.

• You enjoy sharing knowledge, learning from peers, and can synthesize ideas clearly.