Full Stack Cloud Engineer Specialist

AGBG Full Stack Engineer Specialist

Job Title - AGBG Full Stack Engineer Specialist

Management Level: 09-Specialist

Location: All over India

Job Summary: L9 Specialist who leads client-facing delivery of cloud-native solutions on Google Cloud, with deep GCP product expertise and domain depth in one or more of Customer 360, CCAI/Contact Center, Cloud Modernization, or Data & AI. Drives end-to-end engineering (build-to-run), mentor’s teams, and shapes repeatable offerings (POVs, accelerators, reference architectures) tied to measurable outcomes.

Roles & Responsibilities:

• Hands-On Full Stack Development: Design, build, test, and deploy complex, cloud-native applications on Google Cloud, working across the entire service delivery lifecycle from requirements gathering to production support.
• Client-Facing Solutioning: Work directly with clients to understand business challenges, translate requirements into technical designs, and act as a technical advisor for the client throughout the project.
• Team Leadership & Collaboration: Manage and mentor on-shore and off-shore project teams, conduct peer reviews, and collaborate with cross-functional stakeholders to ensure alignment and delivery excellence.
• Modern Engineering & Agile Delivery: Apply modern engineering practices and Infrastructure as Code (Terraform) within an Agile framework to deliver high-quality software at pace.
• Leverage your expertise to deliver outstanding results in one or more of the following Google Cloud domains:
  • Data & AI: Build data pipelines and analytics solutions using BigQuery, Dataflow, and Looker.
  • Generative & Agentic AI: Contribute to the design and development of AI solutions using Vertex AI, Gemini models, and Retrieval-Augmented Generation (RAG).
  • Security Operations (SecOps) & Cyber Defense: Design and build solutions that integrate Chronicle (SIEM/SOAR), Mandiant, and Security Command Center; automate response workflows.
  • Marketing Intelligence & Personalization: Unify customer data in GCP; use BigQuery + Vertex AI for predictive segments.
  • Customer Engagement (CES): Implement and customize solutions like Contact Center AI (CCaaS) to transform customer experiences.
  • Application & Infrastructure Modernization: Deliver solutions leveraging Google Kubernetes Engine (GKE), Apigee, and modern CI/CD practices.
  • Workplace & Collaboration Solutions: Design and build custom integrations for Google Workspace, using APIs and Google Apps Script to automate workflows and connect productivity tools with enterprise systems.

About Our Company | Accenture