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Cloud Data and AI Engineer, Google Public Sector
Cloud Data and AI Engineer, Google Public SectorGoogle Inc. • Reston, VA, US
Cloud Data and AI Engineer, Google Public Sector

Cloud Data and AI Engineer, Google Public Sector

Google Inc. • Reston, VA, US
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Overview

Cloud Data and AI Engineer, Google Public Sector — Mid level position located in Reston, VA, USA. Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

About the job

As a Cloud Data and AI Engineer, you\'ll guide National Security customers to develop, configure and deploy their data and AI solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You\'ll consult with customers on how to best design their data and AI solutions including development and deployment of ML models, and integrations with leading Google technologies. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features.

Google Public Sector 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.

Responsibilities

  • Be a trusted technical advisor to National Security customers and solve complex data and AI challenges.
  • Analyze on-premise and cloud database environments, consulting on the optimal design for performance and deployment on Google Cloud Platform.
  • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders.
  • Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience with relational database technologies such as PostgreSQL, MySQL, SQL Server, or Oracle.
  • Experience working with business stakeholders to understand requirements, provide technical leadership, and educate teams on GCP best practices.
  • Experience with database and AI integrations.
  • Must possess an active Top Secret / SCI security clearance with current polygraph.
  • Preferred qualifications

  • Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and database performance tuning.
  • Experience working with cloud databases such as RDS, Aurora, ElastiCache, CloudSQL, AlloyDB, Datastore or Bigtable.
  • Experience with MLOps, data warehousing, and data pipeline development, including ETL and ELT.
  • Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring and auditing.
  • Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, or Golang.
  • Familiarity with frameworks like TensorFlow, PyTorch, and tools for large language models (LLMs).
  • We are an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity / expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\'s EEO Policy, Know your rights : workplace discrimination is illegal, Belonging at Google, and How we hire.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies : Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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    Cloud Data Engineer • Reston, VA, US

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