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engineering opportunity

Cloud Infrastructure Engineer, HPC, TPU, Google Public Sector

Define and implement reference systems and HPC solutions using infrastructure-as-code and automation modules. Collaborate with technical leads and product managers to deliver high-quality features and provide technical troubleshooting for customers.

Reston, Virginia, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science or equivalent practical experience.

* 6 years of experience in software development in C++, Python, Java or

similar.

* 6 years of experience in High Performance Computing (HPC) system architecture

and applications.

* 6 years of experience testing, and launching software products, and with

software design and architecture.

* Must possess an active Secret security clearance.

PREFERRED QUALIFICATIONS:

* Experience in delivering solutions that meet public sector security and

compliance requirements such as FedRAMP, DoD Impact Levels, or Risk

Management Framework.

* Knowledge of containerization and container orchestration technologies such

as Google Kubernetes Engine (GKE).

ABOUT THE JOB:

The Google Cloud Platform team helps customers transform and build what's next

for their business — all with technology built in the cloud. Our products are

developed for security, reliability and scalability, running the full stack from

infrastructure to applications to devices and hardware. Our teams are dedicated

to helping our customers — developers, small and large businesses, educational

institutions and government agencies — see the benefits of our technology come

to life. As part of an entrepreneurial team in this rapidly growing business,

you will play a key role in understanding the needs of our customers and help

shape the future of businesses of all sizes use technology to connect with

customers, employees and partners.

Our mission is to enable our customers to run their most demanding workloads for

technical, scientific, and engineering tests on Google Cloud Platform (GCP). For

these High Performance Computing (HPC) requirements, we offer

supercomputer-class infrastructure (e.g., CPUs, GPUs, or TPUs) that

interoperates with other cloud services, from storage to AI.

In this role, you will

  • define and implement reference systems and
  • use-case-focused HPC solutions. You will do this through a combination of
  • infrastructure-as-code and automation modules that integrate with various (GCP)
  • APIs and tools, such as Google’s cluster toolkit. You will be working with
  • distributed systems and will understand how to extract performance across the
  • stack (from hardware architecture to application). You will apply computational
  • experience in health-care or life science, financial services industry, or
  • manufacturing, including an understanding of AI.
  • Additional Details: Must be a US Citizen to meet customer and compliance
  • requirements, including potential access to classified information.
  • Google Public Sector
  • [https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]
  • brings the magic of Google to the mission of government and education with
  • solutions purpose-built for enterprises. We focus on helping United States
  • public sector institutions accelerate their digital transformations, and we
  • continue to make significant investments and grow our team to meet the complex
  • needs of local, state and federal government and educational institutions.
  • Individual pay is determined by factors including job-related skills,
  • experience, and relevant education or training.
  • US: $152000 - $222000 (USD) + 15% bonus target + equity + benefits
  • Learn more about benefits at Google
  • [https://www.google.com/about/careers/applications/benefits/].
  • RESPONSIBILITIES:
  • * Understand our customers current and future computing goals and generalize
  • them into repeatable usage patterns and adequate cloud architecture.
  • * Implement specific HPC solutions as infrastructure-as-code and necessary
  • deployment tooling functionality.
  • * Work closely with technical leads, product managers and partner service
  • engineering teams to get high-quality features through the software project
  • life-cycle.
  • * Serve as a technical advisor and perform troubleshooting to resolve technical
  • tests for customers.
  • * Provide both remote and on-site support for the deployment of new cloud
  • capacity and technologies.

Which skills does this role require?

C++PythonJavaSoftware ArchitectureInfrastructure-as-CodeDistributed SystemsCloud ArchitectureSecret Security ClearanceRisk Management FrameworkGCP APIsAutomationCloud InfrastructureTPURMFSecret ClearanceSupercomputingAILife SciencesFinancial ServicesManufacturing

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