About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

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

languages.

* 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

* 3 years of experience with developing large-scale infrastructure, distributed

systems or networks, or experience with compute technologies, storage or

hardware architecture.

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science, or a related technical field.

* 5 years of experience with data structures and algorithms.

* 1 year of experience in a technical leadership role.

* Experience with Unix/Linux environments, distributed systems, machine

learning, information retrieval, and TCP/IP.

* Experience developing accessible technologies.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

This team develops software to optimize the design, planning, deployment, and

decommissioning of cluster layouts for Google data centers. Our fleet consumes

as much power as the entire city of San Francisco, so we're handling a number of

fun, open-ended, and challenging problems to optimize rack placement, reduce our

environmental impact, and save Google money.

In this role, you will

drive the planning to deploy all the machine racks and
network racks across our data centers. You will be responsible for efficiently
deploying these resources in the optimal configuration for our customers across
various product areas (YouTube, Search, Ads, etc.) at Alphabet and for all our
external customers supported by Google Cloud. Additionally, you will use AI to
automate rack placement at Google's data centers.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Write and test product or system development code.
* Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
* Review code developed by other developers and provide feedback to ensure best
practices (e.g., style guidelines, checking code in, accuracy, testability,
and efficiency).
* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
* Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations
and quality.

Which skills does this role require?

Software DevelopmentInfrastructureMachine LearningHardware ArchitectureSoftware EngineeringCapacity PlanningDemand PlanningData CentersCluster LayoutsRack PlacementCloud ComputingAutomationSoftware ArchitectureCode ReviewDebuggingSystem OperationsPerformance OptimizationScalabilityGCP

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