Site Reliability Manager, Shopping SRE

Google
Pittsburgh, PA, USA

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. An SRE Manager on the Shopping Site Reliability Engineering (SRE) team, specializing in Shopping AI, you will drive reliability and efficiency within AI-powered systems in the Shopping domain. Your role requires software engineering expertise, understanding of production systems, and a passion for leveraging AI to enhance the shopping experience. You will drive your team to design, implement, and maintain AI-driven infrastructure, ensuring its scalability, reliability, and performance. You will align your team's work with priorities in Shopping development and broader Ads and Commerce SRE organization.

Responsibilities

Lead a team of Software/Systems Engineers on projects for users and be directly responsible for uptime.

Own end-to-end availability and performance of key services and build automation to prevent problem recurrence.

Automate response to all non-exceptional service conditions.

Lead by example, mentor the team and establish credibility through quality technical execution.

Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

Manage on-call rotations across continents, using a follow-the-sun model.

Qualifications

Minimum

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

8 years of experience with data structures and algorithms.

5 years of experience with software development in one or more programming languages.

3 years of experience managing people or teams, leading projects, and designing, analyzing, and troubleshooting distributed systems.

Experience building and developing large-scale infrastructure or distributed systems.

Experience in Machine Learning Infrastructure.

Preferred

Master's degree in Computer Science or Engineering.