Site Reliability Engineer (m/w/d)

About This Opportunity

We are representing a confidential cloud infrastructure organization that is actively building an on-premise cloud platform. As part of their experienced engineering team, you'll work on OpenStack-based infrastructure and the Kubernetes and GitOps stack that powers their customer-facing cloud platform. AI-assisted engineering is a core part of their daily practice—from spec-driven development to agentic coding workflows, incident response, and automation. The platform is in active development, giving you direct influence on architecture, automation strategy, and the use of AI in platform engineering.

Responsibilities

• Design and develop OpenStack-based on-premise cloud infrastructure with the goal of rolling out complete cloud environments on bare metal in a highly automated manner
• Develop and operate Infrastructure as Code with Ansible and Terraform, as well as Kubernetes and GitOps workflows with FluxCD/ArgoCD—supported by LLMs, agentic workflows, and automated test and review processes
• Own the lifecycle of compute infrastructure—from bare metal, firmware, and provisioning to hypervisors and virtual compute nodes, including patching, migrations, host evacuations, capacity rebalancing, and automation of stable platform operations
• Advance AI substrate and self-healing strategies—from structured knowledge bases and agentic workflows for incident triage and capacity planning to gradual automation of current runbooks
• Design tests for non-regression, performance, and security; document and package solutions; continuously improve the platform based on telemetry, operational experience, and user feedback
• Serve as technical point of contact and sparring partner for colleagues on automation, platform engineering, and AI tooling

What We're Looking For

• Several years of hands-on experience as an SRE, Platform Engineer, or DevOps Engineer operating production infrastructure
• Deep experience with OpenStack, Kubernetes, and Linux, including bare metal environments
• End-to-end experience operating compute infrastructure—from firmware/BIOS rollouts, bare metal provisioning, and hardware diagnostics to hypervisors, migrations, host evacuations, graceful drains, and capacity rebalancing
• AI-assisted engineering as part of your daily workflow; you use LLMs and agentic tools strategically where they meaningfully support development, testing, reviews, or operations, and can assess where AI provides real value versus where deep engineering expertise remains critical
• Proficiency with Ansible, Terraform, and GitOps workflows like FluxCD or ArgoCD, with experience operating automated processes reliably and reproducibly in production
• Experience with Go and/or Python, plus familiarity with Claude Code, Cursor, Aider, or comparable agentic coding environments
• Technical background spanning observability, networking, compute tuning, auto-remediation, security-critical infrastructure, and multi-site cloud environments
• Strong ownership mindset with the drive to not just operate systems but continuously improve them; able to share knowledge and clearly communicate complex technical concepts
• Comfort working in English in an international environment, including discussing, documenting, and advancing technical topics collaboratively

How We Work With You

Candidates apply through Get A Job.ai. Our talent team conducts an initial screening to understand your background and ensure alignment with the role. We then submit qualified candidates to our client for their review and interview process. Please do not contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional process.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of background.