AGBG Full Stack Engineer Senior Analyst

Job Title - AGBG Full Stack Engineer Senior Analyst

Management Level: 10-Senior Analyst

Location: All over India

Job Summary: As a Full Stack Engineer (Senior Analyst), you will build and enhance cloud-native web applications on Google Cloud, working across React-based user experiences, API services, and data/analytics capabilities. You will collaborate within an Agile team to deliver production-grade features, apply modern engineering practices (testing, code reviews, CI/CD), and support deployments and operations under guidance from leads/architects.

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.
• Modern Engineering & Agile Delivery: Apply modern engineering practices and Infrastructure as Code (Terraform) within an Agile framework to deliver high-quality software at pace.
• Outcome-Driven Delivery across Google Cloud: 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 with modern security operations platforms. Develop automated response workflows and leverage threat intelligence by using tools such as Google Chronicle Security Operations (SIEM/SOAR), Mandiant, and Security Command Center.
  • Marketing Intelligence & Personalization: Build data-driven marketing solutions by unifying customer data from multiple sources into Google Cloud. Leverage BigQuery and Vertex AI to develop predictive audience segments and enable hyper-personalized customer experiences across channels.
  • 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.

Must have skills:

• • • • • • • Hands-on Google Cloud (GCP) product delivery (design/build/run in production) - not only custom development hosted on GCP.
• • • • • • • Strong experience with an Object-Oriented Programming Language (e.g., Python, Java/JVM, Node.js).
• • • • • • • GCP engineering fundamentals: Cloud Run and/or GKE, IaC (Terraform), CI/CD, observability, and security basics (IAM, OAuth2/OIDC, secrets).
• • • • • • • Domain depth in 1 or more: Customer 360 (customer data unification on GCP), CCAI/Contact Center (Contact Center AI/CCaaS and integrations), Cloud modernization (GKE, Apigee, migration/modern engineering), Data & AI (BigQuery, Dataflow, Looker, Vertex AI).

  *Good To Have Skills::* Google Cloud Certifications (preferred).

  Experience:- - Minimum of 5+ years of experience in a hands-on, client-facing technology role (e.g., Cloud Engineer, Solution Architect, Software Engineer, Technology Consultant).

• • • • • • • Minimum of 2-3 years of practical, hands-on experience building and delivering solutions on Google Cloud Platform (GCP)

  Educational Qualification: Bachelor-s in computer science, Engineering, or related field

  Qualification

  Must have skills:

• • • • • • • Hands-on Google Cloud (GCP) product delivery (design/build/run in production) - not only custom development hosted on GCP.
• • • • • • • Strong experience with an Object-Oriented Programming Language (e.g., Python, Java/JVM, Node.js).
• • • • • • • GCP engineering fundamentals: Cloud Run and/or GKE, IaC (Terraform), CI/CD, observability, and security basics (IAM, OAuth2/OIDC, secrets).
• • • • • • • Domain depth in 1 or more: Customer 360 (customer data unification on GCP), CCAI/Contact Center (Contact Center AI/CCaaS and integrations), Cloud modernization (GKE, Apigee, migration/modern engineering), Data & AI (BigQuery, Dataflow, Looker, Vertex AI).

  *Good To Have Skills::* Google Cloud Certifications (preferred).

  Experience:- - Minimum of 5+ years of experience in a hands-on, client-facing technology role (e.g., Cloud Engineer, Solution Architect, Software Engineer, Technology Consultant).

• • • • • • • Minimum of 2-3 years of practical, hands-on experience building and delivering solutions on Google Cloud Platform (GCP)

  Educational Qualification: Bachelor-s in computer science, Engineering, or related field