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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
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.
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.
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
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
Work arrangement
No
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