Staff Site Reliability Engineer, Google Cloud Storage
Job Summary
Job Description
- Bachelor's degree in CS or related field
- 8+ years experience with data structures/algorithms
- 5+ years software development experience
- 3+ years leading projects & designing distributed systems
- Experience with system design, capacity planning, monitoring
- Master's degree in CS or Engineering
4 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with data structures or algorithms.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
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 SRE’s will keep an ever-watchful eye on our systems capacity and performance.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Engage in and improve the whole lifecycle of services—from inception and design, through to 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 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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