Google Cloud Database Engineer - Non-Relational

Ford Pro 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 a strong background in NoSQL, database migrations, and performance optimization.

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:

• 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
• GCP Cloud Associate Cloud Engineer certification
• Experience with Cloud Run and Cloud Functions for event-driven architectures