Senior Software Engineer, Site Reliability Engineering, YouTube ML

About the role

Google is looking for a Senior Software Engineer in Site Reliability Engineering (SRE) within its ML, Systems & Cloud AI (MSCA) organization, which builds and runs the hardware, software, machine learning and systems infrastructure for Google services such as Search and YouTube. SRE combines software and systems engineering to make large-scale, distributed systems reliable, available and fast to improve, with much of the work focused on optimizing existing systems, building infrastructure and automating away work.

Key responsibilities

• Take part in and improve the full lifecycle of services, from design and inception through deployment, operation and refinement.
• Support services before they go live through system design consulting, software platform and framework development, 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 them to improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.

Required profile

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of software development experience in one or more programming languages.
• 3 years of experience designing, analyzing and troubleshooting large-scale distributed systems.
• 2 years of experience leading projects and providing technical leadership.
• Preferred: Master's degree in Computer Science or Engineering.
• In most cases, in-person interviews are required as part of the hiring process.