Senior Site Reliability Engineer

Doghouse Recruitment; United States; Remote; USD 210,000 - 300,000; Full time

Job summary

Doghouse Recruitment is seeking an Infrastructure Site Reliability Engineer (Network) to own reliability goals for network services and critical paths. You will drive improvements across the network, incident response, and postmortems while building automated workflows and observability.

Remote US role focusing on scalable, high-availability Linux networks with IaC, CI/CD, and container platforms. Strong Python/Go coding skills required to build reliable automation.

Qualifications

• Strong production Linux fundamentals and a structured debugging approach.
• Solid understanding of networking and failure modes in real networks.
• Hands-on experience operating high-availability systems and improving them over time.
• Ability to write and maintain software and automation in Python or Go.
• Experience with modern infrastructure tooling such as IaC, CI/CD and container platforms.

Responsibilities

• Define and own reliability goals for network services and critical paths.
• Drive improvements across the whole network including site readiness and inter-site connectivity.
• Own incident response, lead investigations and postmortems.
• Evolve observability with metrics, logs, traces and alerting to shorten debug loops.

Skills

Linux fundamentals

Networking

High-availability systems

Python

Go

IaC

CI/CD

Container platforms

Automation

Tools

IaC tooling

CI/CD tooling

Container platforms

eBPF

DPDK

Kernel networking

Job description

Infrastructure Site Reliability Engineer – Linux | Network Reliability | Python / Go | Remote US

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 1,500+ including hundreds of engineers.

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. Our client is adding nine SREs to the infrastructure organisation this year, seven in Europe and two in the US.

We expect you to have

• Strong production Linux fundamentals and a structured approach to debugging complex systems
• Solid understanding of networking and how real networks fail: control plane versus data plane, latency and loss, failure domains
• Hands‑on experience operating high‑availability systems and improving them over time, not just keeping the lights on
• Ability to write and maintain software and automation in Python or Go
• Experience with modern infrastructure tooling such as IaC, CI/CD and container platforms, and comfort automating operational workflows

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.

Location:

United States - 100% Remote.

Total compensation:

up to $300,000 depending on experience