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engineering opportunity

Staff Software Engineer, Site Reliability Engineering

The role involves managing the full lifecycle of services, including design, deployment, operation, and refinement. You will also be responsible for scaling systems through automation and maintaining system health through monitoring and incident response.

San Jose, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Computer Science, a related field, or equivalent

practical experience.

* 8 years of experience with software development in one or more programming

languages.

* 3 years of experience leading projects.

* 3 years of experience 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's services—both our internally critical and our

externally-visible systems—have reliability, uptime appropriate to users' 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, 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.

To learn more: check out our books on Site Reliability Engineering

[https://landing.google.com/sre/book.html] or read a career profile

[https://careers.google.com/stories/site-reliability-engineering-profile-google/]

about why a Software Engineer chose to join SRE.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 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.

Which skills does this role require?

Distributed SystemsProject LeadershipCapacity PlanningTroubleshootingIncident ResponseMonitoringLatency AnalysisAvailability ManagementInfrastructure EngineeringPerformance OptimizationSoftware EngineeringData CentersLatencyAvailabilityPostmortemsTechnical InfrastructureScalabilityCloud ComputingMachine Learning

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