Skip to main content
find your future at ford.

Google Cloud Non-Relational Database Engineer

Job ID
70629
Category
Enterprise Technology
Location
India, Remote
Work Type
Remote

Google Cloud non-relational database engineer is sought to design, implement, and manage database systems on the Google Cloud Platform. This role requires expertise in non-relational database technologies (Mongo, Firestore, Bigtable, Memorystore for Redis, Memorystore for Valkey, Neo4j), cloud-native architecture, in depth knowledge of Google Cloud Backup and Recovery, and experience with Google Cloud Platform (GCP) services. A strong background in NoSQL and experience with database migrations, Data modeling, and Performance optimization, monitoring tools are also essential. 

  • 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.
  • Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
  • Minimum of 7 years of overall IT experience
  • 3 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 preferred.
  • Experience with Cloud Run and Cloud Functions for event-driven architectures.

    Skills

  • CI/CD & DevOps, Terraform, VS Code, Github, Python, Cloud Run
  • What we do at Ford.

    Built on one bold idea and the passion to define sustainable transportation for generations to come, Ford is a story about people with a vision that’s still being written.

    What We Do
  • Our people and culture

    Ford’s culture fuels the kind of momentum where ideas flow, progress is unstoppable, and our people keep redefining what it means to innovate.

    Our People and Culture
  • Ford Benefits

    At Ford, your work matters, your life matters and we’re here to back the whole you—from growth to well-being—so you show up ready to realize your full potential.

    Your Benefits

Jobs For You.

Explore roles tailored to your interests, based on your preferences and experience.

Be the first to know about new jobs.

SIGN UP FOR JOB ALERTS

Keep up on all the latest opportunities at Ford.

Interested InSelect a job category from the list, then search for a location. For broader job alerts, choose a state instead of a specific city. Interested in opportunities in multiple states or locations? Add each one individually to your alert. Click 'Add' to finish.

By submitting your information, you acknowledge that you have read our privacy policy and consent to receive email communication from Ford.