Staff Infrastructure Engineer, Trading

Ready to do the most impactful work of your career?

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits.

As an Infrastructure Lead on the Exchange team, you'll own the infrastructure, deployment, and operational tooling behind a unified trading platform that runs across cloud and on-prem/colocated venues, keeping latency-sensitive, multi-node trading environments fast, reliable, and easy to build on.

Responsibilities

• Own infrastructure, deployment, and operational tooling for latency-sensitive, multi-node trading environments across cloud and on-prem.
• Drive reliability and developer velocity, owning observability, deploy safety, and incident response for systems that run 24/7.
• Set the operational bar through standards, reviews, and automation, and reduce single-point-of-failure risk across the trading stack.
• Partner with engineers building the trading platform to make latency-sensitive systems operable and performant.
• Mentor engineers and build team resilience across a lean, high-impact environment.
• Partner cross-functionally with Product, Institutional Markets, and SRE to turn platform needs into a roadmap.

Required skills and experience

• 8+ years of infrastructure, platform, or SRE engineering, with demonstrated ownership of production systems at scale.
• Track record running infrastructure for latency-sensitive trading environments, including on-prem/colocated deployments, not generic platform work.
• Deep proficiency with orchestration tooling, containerized and baremetal deployments, and observability/logging tooling.
• Strong Linux performance and networking fundamentals in latency-critical environments.
• Experience delivering end-to-end: scoping, implementation, deploy safety, monitoring, and incident response.
• Experience in a regulated or financial environment where reliability and low-latency performance are critical.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Benefits

• Base salary varies by location
• Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k))

Annual base salary range

• $218,025-$256,500 USD