Staff Site Reliability Engineer, Semantic Understanding

Role Overview

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.

Semantic Understanding Platform (SUP) is the standard platform for hosting image, text, video and data understanding signals at Google. SUP is a unified platform for understanding and generating content, and developing signals from raw data. Our team ensures the reliability, scalability, and operation of several Semantic Understanding Services, which we develop jointly with our partner SWE teams.

This role is open to both Site Reliability Engineering (SRE) Systems Engineering and SRE Software Engineering applicants.

Responsibilities

• Develop and drive the technical strategy and roadmap for critical areas within SU SRE, mentoring team members to enhance system reliability and efficiency.
• Initiate, own, and lead large-scale, complex projects and programs to significantly improve the reliability, scalability, and performance of SU services, often spanning multiple teams and systems.
• Partner with development teams to influence system design and architecture, embedding reliability principles throughout the development life-cycle. Drive alignment on technical direction across teams, navigating priorities.
• Identify, analyze, and mitigate risks in production. Design and implement architectural improvements to ensure long-term service health, scalability, and efficiency.
• Participate in the oncall rotation, respond to incidents, and drive postmortem actions to prevent recurrence.

Requirements & Qualifications

Minimum qualifications:

• 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.
• 4 years of experience in applying Design for Reliability techniques.
• 3 years of experience as a Site Reliability Engineer.
• 3 years of experience leading projects.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
• Experience in Generative AI, Generative AI Agent, Google Infrastructure.
• Experience in large-scale and secure fleet management of servers and components.
• Experience in enterprise risk assessments.
• Experience with process improvement and automation.

Application Instructions

Apply directly on Google Careers at Staff Site Reliability Engineer, Semantic Understanding↗.

Direct application sign-in: Submit Application↗

Note: In most instances, this position requires in-person interviews as part of the hiring process.