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 at the forefront of building the future of our storage infrastructure. You will be a key part of the team that ensures Google Cloud Storage (GCS) not only stays massively reliable but also meets these new demands. You'll use your on-call insights to drive deep engineering projects that improve the reliability, efficiency, and simplicity of our stack. You will directly shape the system's future and solve the toughest problems at Google's immense scale.

Responsibilities

• Improve the whole lifecycle of services from inception and design, through deployment, operation, and refinement.

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

• Provide guidance to other team members in managing availability and performance of mission critical services, building automation to prevent problem recurrence, and automated responses for non-exceptional service conditions.

• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Lead sustainable incident response and blameless postmortems.

• Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

Minimum qualifications

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

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

Preferred qualifications

• 3 years of experience working with data structures and algorithms, complexity analysis and software design.

• Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby.