Site Reliability Engineer

    Staff Site Reliability Engineer – Bare Metal Linux \| Kernel \| Python / Go \| Remote US \[$300K Total Compensation\] \[AI Cloud Infrastructure\]

    Our client is an AI cloud provider that designs and builds its own data centres, powered by NVIDIA GPUs and engineered for AI/ML workloads. They offer the full stack, from GPU clusters and storage to managed Kubernetes and inference, on infrastructure where reliability needs to be engineered, not “handled”. Publicly listed and headquartered in Europe, they have around 2,000 people worldwide, and are scaling fast.

    We are seeking a Staff SRE who will own production reliability end-to-end for our client: define SLIs/SLOs, run error budget conversations, and ship changes that reduce incidents and improve latency (p95/p99). You will build automation to kill toil, improve deployment safety (canary/rollback), and turn observability into signal rather than noise.

    This is a bare-metal environment: think Linux, data centres, physical fleets and real hardware constraints, not managed services. You will work close to the metal on Linux performance (CPU/memory/IO contention), kernel tuning, and network debugging (DNS/TCP/TLS, packet loss, congestion). On-call is part of the job, but success is measured by how much you reduce it.

    You will join our client’s Infrastructure organisation, in the Hardware or the Network team depending on your background, and report to a team lead in Europe. This is a staff level role, typically 12 or more years of experience.

    Must requirements • Extensive, recent hands-on experience running Linux on bare metal in data centres, ideally

    across hundreds or thousands of physical servers, not public cloud only • Deep Linux expertise, including kernel tuning and troubleshooting performance and stability

    issues at OS level • Strong coding skills in Python or Go, beyond automation scripting, and comfortable in a live

    coding interview • A track record of building infrastructure automation and tooling that runs at scale • Ownership of production incidents, from root cause analysis to lasting engineering fixes • Strong understanding of networking (DNS/TCP/TLS, latency, packet loss, congestion) and

    experience in low latency environments such as trading, HPC, gaming or large-scale tech

    Nice to have, not critical: Kubernetes on bare metal, InfiniBand, network engineering (routing, BGP, switching), C development, and configuration tooling such as Terraform, Puppet or Ansible.

    Location: United States - 100% Remote. Total compensation: up to $300,000 depending on experience

    Featured benefits: 401(k), disability insurance, paid maternity leave, medical insurance

    Interested? Contact me at s.vanderiet@doghouse.nl

    [mailto:s.vanderiet@doghouse.nl](mailto:s.vanderiet@doghouse.nl)