Our team operates at the unique intersection of physical hardware, distributed cloud infrastructure, and next-generation real-time Voice AI. We focus on high-leverage architectural engagements—partnering closely with development teams to simplify core backends, optimize ML serving, and ensure smart home interactions are instant, reliable, and trustworthy.
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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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
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.
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.
