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.

In this role, you will be responsible for the production readiness, reliability, and scalability of the GDC Connected platform as part of Google Distributed Cloud, Connected SRE. You will extend Google Cloud infrastructure and services to the edge through this platform, which runs on hardware located on customer premises but fully managed by Google. You will focus on the foundational services of GDC Connected, including the Kubernetes cluster, management plane, and core enabling services, aiming to provide a stable and reliable base for both customer workloads and higher-level first-party services.

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.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead the reliability strategy, direction, and roadmaps for the entire GDC Connected product.

• Engineer and maintain the systems and tools necessary to operate the platform at scale, focusing on areas like Service Level Objectives (SLOs), monitoring, rollout safety, and production safety systems.

• Partner with development teams on design, launches, and ongoing operations.

• Share on-call responsibilities with the dev teams to ensure the platform meets customer expectations and Service-level Agreements (SLAs).

• Foster a culture of reliability across the GDC engineering organization.

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.

• 4 years of of experience with site reliability engineering focused on building and maintaining scalable, reliable systems.

• 4 years of experience in automation and coding in Python.

• 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.

• 5 years of experience in Linux system administration.

• 3 years of experience in Kubernetes.

• Experience in Linux administration.