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In Google Jobs in Reston, VA (NOW HIRING)

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Logistics Area Manager, Google Cloud

Reston, VA · On-site

Bachelor's degree in HR, Business or related field, or equivalent practical experience. * 10 years ... About the job In this role, you will be the leader of how Google optimizes daily logistics ...

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Cloud Data and AI Engineer, Professional Services

Google

Reston, VA • On-site

$119K - $143K/yr

Full-time

Posted 24 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

info_outline
X Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 3 years of experience with software development in Python, Java, or C , and relational database technologies.
  • Experience implementing data and AI solutions (including LLMs) and providing technical leadership to business stakeholders and education to partners.
  • Active, or the ability to obtain, a TS/SCI security clearance.
  • Ability to travel up to 30% of the time.

Preferred qualifications:
  • Experience with database and AI integrations.
  • Experience with MLOps, data warehousing, and data pipeline development, including ETL and ELT.
  • Experience working with cloud databases such as RDS, Aurora, ElastiCache, CloudSQL, AlloyDB, Datastore, or Bigtable.
  • 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.
  • Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and as well as database performance tuning.

About the job
As a Cloud Data and AI Engineer, you will guide Public Sector 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 will 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.
The US base salary range for this full-time position is $127,000-$183,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Be highly collaborative and work closely with data producers, consumers and Data and AI Engineering teams across public sector customers and teams to understand the data needs, provide consultation, and design and develop solutions.
  • Analyze on-premise and cloud database environments, consulting on the optimal design for performance and deployment on Google Cloud Platform. Design, build, and maintain data and AI solutions.
  • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders.
  • Translate business requirements into conceptual, logical, and physical data models.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be 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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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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