Systems Engineer, Site Reliability Engineering, Google Cloud

Systems Engineer, Site Reliability Engineering, Google Cloud

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Minimum Qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• Experience with programming in one or more programming languages.
• Experience working with administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).

Preferred Qualifications:

• Master’s degree in Computer Science or Engineering.

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, SREs 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 unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. SRE’s culture of diversity, intellectual curiosity, problem solving, and openness is key to its success.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

• Engage in and improve the whole lifecycle of services from inception and design, through 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.

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