Note: The job is a remote job and is open to candidates in USA. The client is building a cloud platform for high-throughput, compute-heavy workloads and operates large-scale infrastructure. The Staff Site Reliability Engineer will own production reliability end-to-end, define reliability objectives, reduce incidents and latency, automate operational toil, improve deployment safety, and enhance observability across bare-metal Linux, Kubernetes, and networking environments.
Responsibilities
- 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
- 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
Skills
- 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)
- Strong Kubernetes experience beyond manifests : scheduler behavior, autoscaling edge cases, kubelet pressure/evictions, etcd/control plane
- 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
Benefits
- US - 100% Remote.
Company Overview