About the role

What will you do at Google?

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 (e.g., C++, Java, Python), or with data structures/algorithms.

* 3 years of experience in designing, analyzing, and troubleshooting

large-scale distributed systems.

* 3 years of experience managing and growing engineering teams, including

performance management and career development.

PREFERRED QUALIFICATIONS:

* Experience managing distributed teams across multiple sites or timezones.

* Experience developing long-term technical roadmaps, driving organizational

change, and influencing cross-functional stakeholders (Dev, PM, Leadership).

* Proven track record of hiring, mentoring, and leading high-performing Site

Reliability Engineering or Software Engineering teams.

* Systematic problem-solving and troubleshooting skills in complex, ambiguous

software systems.

* Passion for AI infrastructure and driving AI transformation within

engineering workflows.

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's services—both our internally critical and our

externally-visible systems—have reliability, uptime appropriate to users' 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, 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.

To learn more: check out our books on Site Reliability Engineering

[https://landing.google.com/sre/book.html] or read a career profile

[https://careers.google.com/stories/site-reliability-engineering-profile-google/]

about why a Software Engineer chose to join SRE.

Join Google’s Core AI Foundations SRE team! We build and scale the critical

infrastructure—authorization, ML training storage, and RPC scheduling—powering

products like Gemini, Workspace, NotebookLM, and Cloud.

You will manage and grow a North American SRE team. You will partner closely

with development teams and our Sydney counterpart to run a follow-the-sun

rotation and ensure exceptional reliability for Google’s frontier AI

capabilities.

The Core team builds the technical foundation behind Google’s flagship products.

We are owners and advocates for the underlying design elements, developer

platforms, product components, and infrastructure at Google. These are the

essential building blocks for excellent, safe, and coherent experiences for our

users and drive the pace of innovation for every developer. We look across

Google’s products to build central solutions, break down technical barriers and

strengthen existing systems. As the Core team, we have a mandate and a unique

opportunity to impact important technical decisions across the company.

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:

* Hire, develop, and mentor a high-performing, SRE team to support career

growth and team health.

* Set team goals, prioritize resources, and define technical roadmaps aligned

with partner teams and key stakeholders.

* Guide the architecture and review of resilient, high-performance systems

powering core AI infrastructure.

* Drive incident response, maintain high reliability standards, and actively

automate operational toil.

* Partner across development teams to align technical direction while

leveraging AI to accelerate team productivity.

Which skills does this role require?

Distributed SystemsC++JavaPythonData StructuresPerformance ManagementTeam LeadershipIncident ResponseTechnical RoadmappingGeminiWorkspaceNotebookLMCloudRPCTechnical RoadmapScalabilityCore AI FoundationsEngineering ManagementMachine LearningProduct Strategy

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