Staff Software Engineer, Health Site Reliability Engineering

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.

Health SRE ensures the reliability and integrity of Google Health, supporting millions with innovations like the Gemini-powered AI Coach and Fitbit hardware.

We operate at the intersection of wearable tech, cloud infrastructure, and personal health AI. Our team partners with developers to scale databases, optimize data streaming, and ensure reliable health insights.

In this role, you’ll shape our team’s culture and technical direction. You’ll collaborate with SREs in Sydney and developers across North America and Europe. We value curiosity, mentorship, and a blameless culture that encourages smart risks and growth.

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.

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.
• Practice sustainable incident response and blameless postmortems.

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 designing, analyzing, and troubleshooting distributed systems.
• 3 years of experience leading projects.
  

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.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.