Remote US: Senior Network SRE for AI Cloud Platform

Doghouse Recruitment; United States; Remote; USD 230,000 - 300,000; Full time

Benefits offered by this job

401(k)

disability insurance

paid maternity leave

medical insurance

Job summary

Doghouse Recruitment is seeking an Infrastructure Site Reliability Engineer - Linux, Network Reliability, Python/Go, for a fully remote US role. You will define reliability goals (SLIs/SLOs), own incident response, and drive improvements across network, observability, and change workflows for a fast-growing AI cloud platform.

The ideal candidate has extensive Linux production experience, deep kernel networking expertise, strong coding skills in Python or Go, and a track record of automation at

Qualifications

• Extensive, recent hands-on experience with Linux in production on bare metal or in data centres.
• Deep Linux expertise, including troubleshooting the kernel networking stack.
• Solid understanding of networking, latency, loss, and failure domains.
• Strong coding skills in Python or Go beyond automation scripting.
• Track record of building network or infrastructure automation at scale.
• Ownership of production incidents from root cause analysis to durable fixes.

Responsibilities

• Own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets).
• Drive improvements across the network, site readiness, inter-site connectivity, and operational standards.
• Own incident response, lead investigations and postmortems, implement durable fixes.

Skills

Linux in production

Linux kernel networking

Networking fundamentals

Python or Go coding

Incident ownership

Network automation

Tools

Python

Go

Job description

Doghouse Recruitment is seeking an Infrastructure Site Reliability Engineer - Linux, Network Reliability, Python/Go, for a fully remote US role. You will define reliability goals (SLIs/SLOs), own incident response, and drive improvements across network, observability, and change workflows for a fast-growing AI cloud platform.

The ideal candidate has extensive Linux production experience, deep kernel networking expertise, strong coding skills in Python or Go, and a track record of automation at