Google Cloud Non-Relational Database Engineer

Posted 11 Hours Ago
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2 Locations
In-Office or Remote
Senior level
Automotive
The Role
Designs, implements, and manages non-relational databases on Google Cloud, including MongoDB, Firestore, Bigtable, Memorystore, and Neo4j. Responsibilities include Terraform-based infrastructure, CI/CD, observability with Dynatrace, performance optimization, migrations, high availability and disaster recovery, security, cost optimization, and developer enablement. The role also establishes SRE practices, database monitoring, IAM and OAuth2 controls, AI agent-to-data tracing, and production support.
Summary Generated by Built In

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. 

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.
Qualifications
  • 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

Skills Required

  • Bachelor's degree or foreign equivalent in computer science, information technology, or a related technology field
  • Minimum of 7 years of overall IT experience
  • At least 3 years of database administration or database engineering experience
  • Strong knowledge of GCP non-relational databases, including MongoDB Atlas, Neo4j AuraDB, Firestore, Bigtable, Memorystore for Redis, and Memorystore for Valkey
  • Experience with Cloud Run and Cloud Functions for event-driven architectures
  • Experience with Terraform, CI/CD, DevOps, GitHub, Python, and Cloud Run
  • GCP Associate Cloud Engineer certification

Ford Motor Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.

  • Healthcare Strength — Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
  • Retirement Support — A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
  • Parental & Family Support — Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.

Ford Motor Company Insights

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The Company
HQ: Dearborn, MI
175,633 Employees
Year Founded: 1903

What We Do

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

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