Systems Engineer III, Site Reliability Engineering, Google Cloud
Job Summary
Job Description
This Systems Engineer III role at Google Cloud's Site Reliability Engineering (SRE) team focuses on ensuring the reliability and uptime of large-scale, distributed systems. Responsibilities include improving the service lifecycle (design, deployment, operation, refinement), managing support services, providing guidance to team members on availability and performance, leading incident response and postmortems, and scaling systems sustainably through automation. The ideal candidate will have experience with Unix/Linux systems, networking, programming, and distributed systems. They should possess strong problem-solving, communication, and debugging skills. The role involves managing project priorities, deadlines, and deliverables, as well as designing, developing, testing, deploying, maintaining, and enhancing software solutions.
Must have:
- Bachelor's degree in CS or related field
- 2+ years programming experience
- 2+ years Unix/Linux systems or networking experience
- Experience with distributed systems
- Strong problem-solving and communication skills
Good to have:
- Experience in computing, storage, or networking
- Experience designing, analyzing, and troubleshooting distributed systems
- Ability to debug, optimize code, and automate tasks
7 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience with programming in one or more programming languages.
- 2 years of experience working with Unix/Linux systems internals and administration (e.g. filesystems, inodes, system calls) or networking (e.g. TCP/IP, routing, network topologies and hardware, SDN).
Preferred qualifications:
- Experience working in computing, distributed systems, storage, or networking.
- Experience in designing, analyzing, and troubleshooting distributed systems.
- Ability to debug, optimize code, and to automate routine tasks.
- Excellent problem-solving skills, coupled with verbal and written communication skills.
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 manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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 on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Lead incident response and blameless postmortems.
- Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.
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