Staff SRE Software Engineer, Google Home

Responsibilities

• Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Define the technical outlook, architectural roadmap, and reliability strategy for Home SRE.
• - Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement. - Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews. - Maintain services once they are live by measuring and monitoring availability, latency and overall system health. - Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. - Define the technical outlook, architectural roadmap, and reliability strategy for Home SRE.

Minimum qualifications:

Preferred qualifications:

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. - 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, or a related field. - Experience architecting complex client-to-cloud telemetry systems, CUJ monitoring frameworks, or semantic quality evaluation pipelines. - Expertise in ML model serving infrastructure, real-time low-latency streaming systems, or distributed IoT communication protocols. - Track record of driving cross-functional architectural alignment and influencing technical decisions across large engineering organizations.