Ford Motor Company is seeking a Google Cloud non-relational database engineer to design, implement, and manage database systems on the Google Cloud Platform. The role requires expertise in non-relational database technologies and involves responsibilities such as engineering new versions of NoSQL databases, ensuring observability and reliability, and implementing security best practices.
Responsibilities:
- NoSQL Database Engineering, part of Hosting Engineering department involves engineering new versions of NoSQL Databases, evaluate security patches, provide L3 support, technology management, GRC etc
- Infrastructure as Code (IaC): Design and maintain production-grade infrastructure using Terraform . Ensure all cloud resources are version-controlled and deployed via automated pipelines
- Observability & Reliability: Set up comprehensive monitoring, logging, and alerting using the Dynatrace. Define and track SLIs, SLOs, and Error Budgets
- Developer Enablement: Build internal tooling and documentation to help application developers self-serve their infrastructure needs while maintaining compliance and governance
- Cost Optimization: Monitor cloud consumption and implement cost-saving strategies such as Committed Use Discounts (CUDs) and rightsizing of compute resources
- Data Security & Protection: Enforce security best practices using IAM roles, Workload Identity, and Organization Policy Service and ensure RTO & RPO requirements are met
- Implement secure authentication between the AI Client (e.g., an agentic loop) and the MCP Server. Use GCP IAM Workload Identity and OAuth2 to ensure agents operate within strict permission boundaries
- Implement end-to-end tracing to monitor the flow from the AI Agent → MCP Server → GCP Data Source
- Experience with architecting and engineering of High Availability and Disaster Recovery solutions for NoSQL Databases
- Inter-personnel skills working with other team members in same and across organization
- Writing and assisting developers with Terraform, Blueprints, and APIs
- Create and maintain CI/CD Pipelines
- Deliver Database features to customers through Github Repo Enhancemnts
- Strong understanding of SRE principles, including the implementation and management of SLOs and Error Budget
- Expertise in developing observability dashboards to visualize app-to-database dependencies, enabling side-by-side health monitoring and accelerated incident resolution
- Integrate GCP database logs with Dynatrace to centralize observability, configure DQL-based anomaly detection and provide deep-dive analysis for cloud-native workloads
- Designing and implementing non-relational database solutions on GCP, including choosing appropriate services like . Mongo, Firestore, Bigtable, Memorystore, or Neo4j
- Managing and maintaining database infrastructure, including provisioning, configuration, and Optimizing database performance through query tuning, indexing, and capacity planning
- Migrating existing on-premises databases to Google Cloud Platform, ensuring data integrity and minimal downtime
- Developing and maintaining logical and physical data models for non-relational databases
- Implementing and maintaining security best practices for database systems on GCP, including access controls and encryption, Peach dashboard, and Cycode
- Monitoring database performance, identifying and resolving issues, and providing support for database-related problems using Dynatrace, Query Insights, and System insights
- Writing, code reviewing, deploying Terraform code and maintaining service module repositories
- Designing and maintaining Miro board diagrams/workflow for several ongoing projects
Requirements:
- Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
- Minimum of 10 years of overall IT experience
- 5 years of experience database administration or engineering
- Strong knowledge in GCP non-relational databases like Mongo Atlas, Neo4j AuraDB, Firestore, Bigtable, Memorystore for Redis, and Memorystore for Valkey
- Experience with Cloud Run and Cloud Functions for event-driven architectures
- GCP Cloud Associate Cloud Engineer certification