Platform & AI Engineer

Job Description Senior Data Engineer - Enterprise Data Enablement The Enterprise Data Enablement team is seeking a Senior Data Engineer who can design, develop, and maintain secure, scalable, and efficient data pipelines and platforms. This role will focus on building and deploying data solutions across financial consumer business domains by leveraging existing and new data framework capabilities to acquire, transform, stream, and integrate data. The candidate will also contribute to innovativ

Top Requirements: 1. Bachelor Degree is REQUIRED 2. 5+ years in database engineering with Google Cloud Platform AI enablement focus. 3. AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns. 4. Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage. 5. Multi-Engine Proficiency: Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, Mo

Job Title: AI FullstackDuration: Contract, Long term Job Specification: AI & Full Stack Developer Role Overview: We are seeking an experienced Generative AI and Full Stack Developer to design, develop, and implement intelligent, scalable, and API-driven solutions. The ideal candidate will have a strong background in full-stack development, microservices architecture, and hands-on expertise in generative AI frameworks to build next-generation intelligent automation systems. Key Responsibilities:

Senior Engineer - Azure AI Platform & Terraform DevOps to support enterprise AI initiatives by enabling automated, secure, and scalable infrastructure using Terraform and Azure DevOps. This role will act as a key technical point of contact for AI teams, translating business and AI requirements into production-ready cloud environments. Key Responsibilities Serve as technical POC for AI teams for platform onboarding and environment setup Design and implement Terraform-based infrastructure (IaC)