AGBG Full Stack Engineer Senior Analyst

{ "jobLocation" : { "@type" : "Place", "address" : { "@type" : "PostalAddress", "addressCountry" : "India", "addressLocality" : "Bengaluru, BDC10A" } }, "hiringOrganization" : { "name" : "8113 ASOL- Bangalore 7 SEZ Company", "@type" : "Organization", "sameAs" : "" }, "identifier" : { "name" : "AGBG Full Stack Engineer Senior Analyst", "@type" : "PropertyValue", "value" : "14191461" }, "datePosted" : "2026-07-21", "employmentType" : "FULL_TIME", "title" : "AGBG Full Stack Engineer Senior Analyst", "description" : "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. About Our Company | Accenture 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