Staff SRE Software Engineer, Google Home
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. Google scores B on the Alion truth index.
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 Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's 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 Cloud, 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.
Home SRE engineers the reliability, performance, and scalability behind Google Home, powering ambient experiences across more than 100 million connected devices worldwide. Google Home is in the midst of rapid product evolution and high momentum, driven by major software breakthroughs like Gemini for Home alongside a continuous pipeline of recent and upcoming hardware launches.
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.
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.
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.