Software Engineering Manager, SRE, AI Foundations, Data Intelligence

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.

• 3 years of experience managing people or teams.

• 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.

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's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' 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, 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.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

F1 Query (AI Foundations) is Google's planet-scale, distributed federated query engine. Compliant with GoogleSQL, it enables cross-source joins across major internal storage systems (such as Spanner, Capacitor, and ColumnIO). It currently powers 400+ production systems across Ads, Cloud, YouTube, and DeepMind for low-latency analytics, serving, and batch processing.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities:

• Lead, mentor, and grow a distributed team of SREs. Drive performance evaluations, career management, and strategic hiring to support expanding initiatives.

• Own end-to-end reliability for F1 Query and CDQ services. Lead within a Tier-1 on-call rotation (5-minute response SLA) to ensure rapid incident resolution and high availability.

• Identify architectural bottlenecks and design resilient systems. Scale infrastructure sustainably by replacing manual toil with automation to boost reliability and release velocity.

• Partner with core Query development teams and peer SRE groups across AI Foundations and Data Intelligence. Drive alignment on roadmaps and lead product area and Google-wide reliability efforts.

• Provide technical guidance via design reviews, consultation, and production training. Steer engineering across C++, Java, and Go services, covering capacity planning and performance tuning.