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.

* Experience mentoring engineers and cultivating a high-standards team culture.

* Experience applying deep AI proficiency to solve highly ambiguous

infrastructure issues and drive significant business impact.

* Ability to shape technical strategy, influence critical engineering

decisions, and drive consensus across cross-functional teams.

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

architect resilient, automated production environments
that meet stringent Service Level Objectives. You will lead the team through
some of Google's most pressing issues, including: scaling our architecture
across the portfolio to accommodate exponentially growing demands for
infrastructure capacity, supporting the growing business and compliance needs
across different product areas, and adapting our operational models to support
highly accelerated product development cycles.
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 systemsCapacity planningIncident responsePerformance optimizationService level objectivesCloud computingSoftware EngineeringCachingDistributed SystemsCapacity PlanningLatencyAvailabilitySystem HealthIncident ResponsePostmortemsService Level ObjectivesData CentersComplianceGCP

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