Senior Site Reliability Engineer

Infrastructure Site Reliability Engineer – Linux | Network Reliability | Python / Go | Remote US [$300K Total Compensation] [AI Cloud Infrastructure] Our client is building a full-stack AI cloud platform, supporting developers and enterprises from model training through to production deployment. Built by engineers, for engineers. From GPU orchestration at scale to inference optimisation, they own the hard problems across compute, storage, networking and applied AI. Publicly listed, headquartered in Europe, with R&D hubs across Europe, the UK, North America and Israel, and a team of 2000+. We are seeking a Network SRE to help build and run the part everything else depends on for our client: the network. This is an engineering-first role. You define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where they make sense), and you drive improvements across the whole network, not only services but also site readiness, inter-site connectivity (DCI) and operational standards. You own incident response, lead investigations and postmortems, and turn failures into durable fixes instead of repeated firefighting. A large part of this job is building. You evolve observability into actionable metrics, logs, traces and alerting that shorten the debug loop during and after incidents. You design safer change workflows: automation, CI/CD, staging environments, canarying, rollbacks and auditability for network changes, working closely with network engineers to embed operability into designs. You will report to a team lead in Europe. The team will double or triple in size. We expect you to have Extensive, recent hands-on experience with Linux in production on bare metal or in data centres, not public cloud only Deep Linux expertise, including troubleshooting the kernel networking stack Solid understanding of networking and how real networks fail: control plane versus data plane, latency and loss, failure domains Strong coding skills in Python or Go, beyond automation scripting, and comfortable in a live coding interview A track record of building network or infrastructure automation that runs at scale Ownership of production incidents, from root cause analysis to lasting engineering fixes Bonus points for high-throughput datapath work (load balancers, tunnelling/decap, NAT64), low-level networking performance debugging (eBPF/XDP, DPDK, perf/ftrace, kernel networking), or large-scale routing and flow telemetry. If you like networks where every packet has consequences, please apply. 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 [email protected]