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 issues of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, 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.

As a part part of the Vertex First-Party (1P) GenAI SRE team, you will collaborate with individuals passionate about shaping the future of artificial intelligence, generative AI and machine learning platforms while driving production excellence through SRE principles, building and supporting groundbreaking AI/ML tools on the rapidly growing Vertex GenAI platform, a unified artificial intelligence platform that enables industries and organizations to transform, solve real-world problems, and scale ML models faster for both internal teams and Google Cloud customers.

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

• Drive improvements across the entire service life-cycle, from inception and design through deployment, operation and refinement.

• Enable services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.

• Monitor and measure availability, latency and overall system health to maintain live services.

• Automate and evolve systems sustainably through mechanisms that improve reliability and velocity by pushing for changes that scale.

• Respond to incidents sustainably and conduct blameless postmortems.

Minimum qualifications

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.

• 2 years of experience leading projects and providing technical leadership.

Preferred qualifications

• Master's degree in Computer Science or Engineering.

• Experience developing and supporting Google scale production systems.

• Experience enhancing and supporting large production systems on cluster management system.

• Experience in software engineering and development experience in C++, Python, General Configuration Language (GCL), APIs and Go.

• Experience with networking, capacity and performance.

• Experience in large-scale system and architecture design and system integrations or migrations.