Systems Engineer III, Site Reliability Engineering, Google Cloud
Job Summary
Job Description
Google Cloud is seeking a Systems Engineer III for their Site Reliability Engineering (SRE) team. This role combines software and systems engineering to build and run large-scale, fault-tolerant systems. Responsibilities include improving the service lifecycle, managing support services, providing guidance to team members on availability and performance, maintaining live services, leading incident response, and scaling systems sustainably. The ideal candidate will have experience with programming, system administration or networking, and large-scale distributed systems. They will design, develop, test, deploy, maintain, and enhance software solutions, managing project priorities and deadlines.
Must have:
- Bachelor's degree in CS or related field
- 2+ years programming experience
- 2+ years system admin or networking experience
- Experience with large-scale distributed systems
- Improve service lifecycle
- Manage support services
- Lead incident response
Good to have:
- Master's degree in CS or Engineering
Perks:
- Bonus
- Equity
- Benefits
4 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 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.
- 2 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The US base salary range for this full-time position is $141,000-$202,000 + 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 .
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 sustainable 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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