Cloud Data and AI Engineer, Professional Services

About the role

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 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.
• 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.
• Design, build, and maintain data and AI solutions.

Requirements

• 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 Large Language Models (LLMs)) and providing technical leadership to business stakeholders and education to partners.
• Ability to travel up to 30% of the time as needed.
• Must possess an active Secret security clearance.

Preferred qualifications

• Experience with database and AI integrations.
• Experience with machine learning operations, 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.

Benefits

US: $127000 - $183000 (USD) + 15% bonus target + equity + benefits

Pay

US: $127000 - $183000 (USD)

Schedule

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Skills

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Qualifications

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