Guide National Security customers to develop, configure and deploy their data and AI solutions on Google Cloud Platform, accelerating their digital transformations.
Requirements
- 6 years of experience with relational database technologies such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Experience with database and AI integrations.
- 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.
Responsibilities
- Guide National Security customers to develop, configure and deploy their data and AI solutions.
- Support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more.
- 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.
- 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.
- Develop, configure and deploy their data and AI solutions.
Other
- Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
- Must possess an active Top Secret/SCI security clearance with current polygraph.
- Experience working with business stakeholders to understand requirements, provide technical leadership, and educate teams on GCP best practices.
- Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities.
- Familiarity with frameworks like TensorFlow, PyTorch, and tools for large language models (LLMs).
