Cloud Engineering Engineer 3

Job Title: Cloud EngineerLocation: Dearborn, MichiganJob Type: W2 ContractExpected hours per week: 40 hoursSchedule: Hybrid (4 days onsite, 1 day remote)Pay Range (must include “per hour”): $65-75 an hourJob DescriptionWe are seeking a Senior Cloud Database Engineer to join our Platform Engineering team, focusing on defining strategy, architecture, and standardized “golden paths” for cloud databases and the AI journey on GCP. This role extends beyond traditional database administration, acting as a technical leader and pattern owner to shape the vision and roadmap while embedding AI/GenAI capabilities into how teams design, build, secure, and operate intelligent data systems at scale.Key ResponsibilitiesLead AI-driven database innovation, including adoption of Gemini Enterprise for query generation, debugging, and schema optimizationDefine contextual AI patterns by integrating Model Context Protocol (MCP) with databases for contextual AI interactionsIdentify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuningPartner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies and build intelligent agents for business value and OLTP cost reductionEstablish enterprise standards for metadata, tagging, classification, lineage, and discoverability using Dataplex and Knowledge CatalogPromote Data-as-a-Product with well-documented, discoverable, and consumable datasetsAlign security and compliance with GDPR, HIPAA, and GCP IAM, including service accounts, role bindings, encryption, and secure agent practicesApply database SRE practices to ensure availability, fault tolerance, and disaster recoveryLead performance tuning, query optimization, indexing strategies, and troubleshooting across distributed systemsEnable DevSecOps practices with secure CI/CD pipelines for database code and configurationsDefine scalable, secure, self-service “golden paths” and database architectures on GCPBuild and maintain Terraform templates for automated provisioning and lifecycle managementArchitect across SQL and NoSQL engines (Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, BigQuery) with Cloud Functions and Cloud RunDevelop complex data models and reliable ETL pipelines integrating multiple data sourcesProvide cross-team leadership, advising engineering, data, and AI teams, and fostering an AI-assisted, platform-first culture with mentorshipBenefits: Medical, Dental, Vision, PTO & 401K#INDOEM