Staff Site Reliability Engineer
$350kDoghouse Recruitment
Job Description
\nUS - 100% Remote.
\nStaff Site Reliability Engineer – Bare Metal Linux – Data Center – Networking
\nOTE up to $350k (base + variable), depending on experience
\n \nOur 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”.
\nWe’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.
\nThis 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.
\n \nMust requirements:
\n- \n
- Extensive and r ecent Production Engineering experience running bare metal / on-prem / data center infrastructure (not public cloud only) \n
- Deep hands-on expertise in Linux systems debugging and performance at a kernel leve l(CPU, memory, I/O, low-level behaviors) \n
- Strong understanding of networking (DNS/TCP/TLS, latency, packet loss, congestion, troubleshooting under load) \n
- Strong Kubernetes experience beyond manifests : scheduler behavior, autoscaling edge cases, kubelet pressure/evictions, etcd/control plane \n
- Experience with Terraform, Docker, Helm , and modern CI/CD practices \n
- Strong coding skills are required for this role either in Go, and/or Python , beyond automation scripting - Real engineering capability is a must \n
- Experience in Low Latency environments. \n
If you’re looking for complexity and a new place to nerd out on infrastructure optimization, we’d love to hear from you!
\n \nLocation: United States - 100% Remote.
\nTotal compensation: OTE up to $350k (base + variable), depending on experience
\n$84.9k - $209.5k
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