Cloud Data and AI Engineer, Google Public Sector
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Minimum 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).
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.
The US base salary range for this full-time position is $147,000-$216,000 + 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 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.
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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.
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