SRE Engineering Manager, Data Cloud — Scale & Uptime

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Inc. in Sunnyvale, CA is seeking a Software Engineering Manager II for Site Reliability Engineering, Data Cloud SRE to lead a team of engineers responsible for uptime and performance of core services.

The role requires a BS in CS or related field (Master's preferred), 8 years of software development, and 3 years of people management. Experience with distributed systems and AI/ML is valued. In-person interviews are typically part of the hiring process.

Qualifications

• Bachelor's degree in Computer Science or 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 designing, analyzing, and troubleshooting distributed systems.
• Experience in Artificial Intelligence or Machine Learning.

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.
• Manage on-call rotations across continents, using a follow-the-sun model.
• Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

Skills

Software development

People management

Distributed systems

AI/ML

Education

Bachelor's degree in CS or related field

Master's degree in CS or Engineering

Job description

Google Inc. in Sunnyvale, CA is seeking a Software Engineering Manager II for Site Reliability Engineering, Data Cloud SRE to lead a team of engineers responsible for uptime and performance of core services.

The role requires a BS in CS or related field (Master's preferred), 8 years of software development, and 3 years of people management. Experience with distributed systems and AI/ML is valued. In-person interviews are typically part of the hiring process.