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GCP Application Modernization Architect

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Onsite

GCP Application Modernization Architect

Tata Consultancy Services

GCP Application Modernization Architect

Skills

Google Cloud PlatformSQL QueriesReactDevOpsMicroservicesDesign ThinkingAIKubernetesSAP ERPCloud ArchitectTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Title: GCP Application Modernization Architect

Exp: 10+ years

Location: PAN INDIA

Virtual interview.

Role Summary

As a GCP Application Modernization Architect you will be responsible for designing & architecting solutions which focuses on transforming legacy, monolithic, and VM‑based applications into cloud‑native, scalable, and resilient architectures .

Key Responsibilities

  1. Architecture & Design
  • Solution Design: Architect Application Modernization solutions (GKE, Cloud Run, Apigee) integrated with Agentic Workflows .
  • Cloud-Native Transformation: Architect the "landing zones" for modern apps using Google Kubernetes Engine (GKE) and Cloud Run.
  • Microservices & API Management: Design secure, scalable API layers using Apigee to allow AI agents to interact with legacy "Systems of Record" (SAP, Mainframes, SQL).
  • DevSecOps & Platform Engineering: Define CI/CD pipelines that incorporate LLMOps for continuous testing and deployment of agentic components.
  • Multi-Agent Orchestration : Design architectures where multiple specialized agents collaborate using frameworks like LangGraph, CrewAI , or Vertex AI Agent Builder .
  • Reasoning & Action (ReAct): Design solutions which involve implementing "Reasoning Engines" that allow applications to perceive state, plan steps, and take actions via Function Calling .
  • Grounding & RAG: Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search and Vector Search (on Spanner or BigQuery) to ensure agent accuracy.
  • Human-in-the-Loop (HITL) : Design governance checkpoints where autonomous agents pause for human approval during critical business transactions.
  1. Leadership & Collaboration
  • Discovery Workshops: Facilitate "Design Thinking" sessions to identify high-ROI use cases for AI Agents within existing business processes.
  • Lead legacy application assessment and define modernization strategies (rehost, re-platform, refactor, re‑architect etc.).
  • Proposal Leadership: Own the technical response for RFPs/RFIs, focusing on TCO reduction through automation and revenue growth through AI-driven capabilities.
  1. Technical Skills & Expertise
  • Deep expertise in GCP application and compute services (GKE, Cloud Run, Compute Engine, App Engine, GKE Enterprise, Apigee, Cloud Spanner, BQ)
  • Strong background in microservices, APIs, container platforms, Kubernetes, ADK, Vertex AI Agent Builder
  • Experience with DevOps, CI/CD pipelines, and IaC (Terraform)
  • Understanding of cloud Infra, security, networking, and observability
  1. Consulting & Commercial Skills
  • Ability to articulate business value of Application modernization
  • Experience with estimation, cost modelling, and value‑based solutioning
  • Strong communication skills for technical and executive stakeholders

Required Experience & Skills

Experience

  • 10+ years in application architecture or software engineering, with 5+ years on cloud platforms
  • Proven experience leading application modernization or cloud transformation initiatives
  • Strong exposure to client‑facing architecture or pre‑sales solutioning roles

Certifications (Preferred)

  • Google Cloud Professional Cloud Architect
  • Certified Kubernetes Administrator (CKA), DevOps or equivalent

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