Staff Site Reliability Engineer
Hace 2 días
Madrid, España
Doghouse Recruitment
Jornada completa
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Staff Site Reliability Engineer – Bare Metal Linux – Data Center – NetworkingLocation : 100% remote within the EUOur client is building a cloud platform for high-throughput, compute-heavy workloads. They operate large-scale infrastructure where failure modes are real, capacity is finite, and reliability needs to be engineered, not “handled”.
We’re seeking a Senior/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’ll 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, datacenters, physical fleets, and real hardware constraints, not managed services. You’ll work close to the metal across Kubernetes internals (scheduling, autoscaling behavior, kubelet pressure/evictions, etcd/control plane), Linux performance (CPU/memory/I/O contention), 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.
Must
requirements:
Extensive and r ecent Production Engineering experience running bare metal / on-prem / data center infrastructure (not public cloud only)Deep hands-on expertise in Linux systems debugging and performance at a kernel leve l(CPU, memory, I/O, low-level behaviors)Strong understanding of networking (DNS/TCP/TLS, latency, packet loss, congestion, troubleshooting under load)Experience with Terraform, Docker, Helm, and modern CI/CD practicesStrong coding skills are required for this role either in Go, and/or Python, beyond automation scripting
- Real engineering capability is a mustExperience in Low Latency environments.
We’re seeking a Senior/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’ll 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, datacenters, physical fleets, and real hardware constraints, not managed services. You’ll work close to the metal across Kubernetes internals (scheduling, autoscaling behavior, kubelet pressure/evictions, etcd/control plane), Linux performance (CPU/memory/I/O contention), 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.
Must
requirements:
Extensive and r ecent Production Engineering experience running bare metal / on-prem / data center infrastructure (not public cloud only)Deep hands-on expertise in Linux systems debugging and performance at a kernel leve l(CPU, memory, I/O, low-level behaviors)Strong understanding of networking (DNS/TCP/TLS, latency, packet loss, congestion, troubleshooting under load)Experience with Terraform, Docker, Helm, and modern CI/CD practicesStrong coding skills are required for this role either in Go, and/or Python, beyond automation scripting
- Real engineering capability is a mustExperience in Low Latency environments.