Staff Site Reliability Engineer

Doghouse Recruitment; España; Remote; EUR 110,000 - 170,000; Full time

Job summary

Doghouse Recruitment is seeking a Senior/Staff Site Reliability Engineer to own reliability end-to-end in a bare-metal Linux/Data Center environment. This remote EU role focuses on reducing incidents, improving latency, and building automation to kill toil while maintaining deployment safety.

You will work near the metal across Linux, Kubernetes internals, and networking, with on-call duties as part of the role.

Qualifications

• Extensive and recent production engineering experience on bare metal / on-prem / data center infra.
• Deep hands-on Linux performance and debugging at kernel level.
• Strong networking understanding (DNS/TCP/TLS, latency, loss, congestion).
• Experience with Terraform, Docker, Helm and modern CI/CD practices.
• Strong Go and/or Python coding skills beyond automation scripting.
• Experience in low latency environments.

Responsibilities

• Own production reliability end-to-end and define SLIs/SLOs.
• Run error budget conversations and ship changes that reduce incidents.
• Build automation to kill toil and improve deployment safety (canary/rollback).
• Work near the metal across Linux, Kubernetes internals and networking.
• Participate in on-call rotations and reduce on-call load.

Skills

Bare metal

Linux kernel

Networking

Kubernetes internals

Terraform

Docker

Helm

CI/CD

Go

Python

Low latency

On-call reduction

Tools

Terraform

Docker

Helm

Kubernetes

Job description

Staff Site Reliability Engineer – Bare Metal Linux – Data Center – Networking

Location: 100% remote within the EU

Our 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 recent 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 level(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 practices
• Strong coding skills are required for this role either in Go, and/or Python, beyond automation scripting - Real engineering capability is a must
• Experience in Low Latency environments.