Staff Software Engineer, Health Site Reliability Engineering

About the role

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.

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.

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.

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

[https://www.google.com/about/careers/applications/benefits/].

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.