V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at
www.V2soft.com to know more.
Only W2, No C2C
Remote Position Will be required to attend team collaboration meetings on site, maybe once every two weeks.Position Description:
We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized "golden paths” for cloud databases and the AI journey on Google Cloud Platform (GCP). This position extends beyond traditional database administration. You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform. A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
Required Qualifications Experience: 5+ years in database engineering with GCP AI enablement focus. AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns. Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage. Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery. Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices. Preferred Qualifications Platform Engineering: Experience building Internal Developer Platforms (IDPs).
Certifications: GCP Professional Cloud Database Engineer or Data Engineer.
Skills Required:
GCP
Skills Preferred:
Artificial Intelligence & Expert Systems
Experience Required:
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information:
Job Title: Senior Cloud Database Engineer (GCP, AI, & Platform Strategy)
Key Responsibilities 1. AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization). Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions. Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning. AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies. Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.