Systems Engineer, Site Reliability Engineering, Google Cloud Storage
18 hours ago
corporate_fare Google place Dublin, Ireland
Apply
- 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.
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
- Ability to debug, optimize code, and to automate routine tasks.
- Systematic problem-solving approach, coupled with effective 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 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
- 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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