Added 7 Nov 2026 · Engineering
Job description
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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 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
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Pay, skills & work eligibility
Compensation
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Location, eligibility & working hours
- Listed work location
- Bengaluru, India / Hyderabad, India / Mumbai, India / Pune, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 5+ years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Bengaluru, India
- Hyderabad, India
- Mumbai, India
- Pune, India