Staff Software Engineer, Site Reliability Engineering, Caching SRE

Google•New York, NY

3d•$207,000 - $300,000

About The Position

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures Google Cloud services—both internally critical and externally visible—have reliability and uptime appropriate to customer needs, while enabling a fast rate of improvement. SRE also monitors system capacity and performance. Much of the software development focuses on optimizing existing systems, building infrastructure, and eliminating work through automation. In this role, you will manage complex challenges of scale unique to Google Cloud, applying expertise in coding, algorithms, complexity analysis, and large-scale system design. The organization values intellectual curiosity, problem solving, openness, collaboration, self-direction, and a blame-free environment, while providing support and mentorship. You will architect resilient, automated production environments that meet stringent service level objectives and lead the team through pressing challenges, including scaling architecture across the portfolio to accommodate growing infrastructure demands, supporting business and compliance needs across product areas, and adapting operational models to accelerated product development cycles. The Technical Infrastructure team builds and maintains the architecture that keeps Google's products running, including data centers and Google platforms, and operates networks to provide users with a fast, reliable experience.

Requirements

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
3 years of experience leading projects.
3 years of experience designing, analyzing, and troubleshooting distributed systems.

Nice To Haves

Master's degree in Computer Science or Engineering.
Experience mentoring engineers and cultivating a high-standards team culture.
Experience applying deep AI proficiency to solve highly ambiguous infrastructure issues and drive significant business impact.
Ability to shape technical strategy, influence critical engineering decisions, and drive consensus across cross-functional teams.

Responsibilities

Engage in and improve the whole lifecycle of services, from inception and design through deployment, operation, and refinement.
Support services before launch through system design consulting, development of software platforms and frameworks, capacity planning, and launch reviews.
Maintain live services by measuring and monitoring availability, latency, and overall system health.
Scale systems sustainably through automation and evolve systems through changes that improve reliability and velocity.
Practice sustainable incident response and conduct blameless postmortems.
Architect resilient, automated production environments that meet stringent service level objectives.
Lead the team through challenges involving infrastructure scaling, business and compliance needs, and operational models for accelerated product development.