GCP Solution Architect Director

PwC; Kolkata District, Hyderabad, Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

PwC in India is seeking a Senior Cloud Architect to drive enterprise-scale cloud architecture programs using Google Cloud. The role requires deep experience in GCP, multi-project Landing Zones, and strong leadership across stakeholders.

You will design scalable, secure cloud architectures, leverage GenAI/Vertex AI, and guide cross-service integration patterns while ensuring FinOps and governance best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 16+ years of experience in IT architecture or software engineering.
• 8+ years of hands-on GCP experience in architecture design and implementation.

Skills

GCP architecture

GKE

Cloud Run

Microservices

Apigee

Cloud Spanner

Gemini

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

Config Connector

Deployment Manager

Cloud Build

Cloud Deploy

Artifact Registry

GitHub Actions

Helm

Argo CD

Docker

Kubernetes

Job description

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 16+ years of experience in IT architecture or software engineering.
• 8+ years of hands-on GCP experience in architecture design and implementation.
• Mastery of GCP architecture design spanning all core Google Cloud Architecture Framework pillars.
• Proven track record leading enterprise-scale cloud architecture programs.
• Extensive experience with complex cross-service integrations (REST, gRPC, OpenAPI, API Gateway/Apigee, Pub/Sub, Managed Service for Apache Kafka, Cloud Tasks, Workflows, Eventarc).
• Expert-level proficiency in Infrastructure as Code (Terraform, Config Connector, Deployment Manager).
• Strategic experience in FinOps, cost governance, and performance engineering using Cloud Billing reports, the Recommender, and Budgets & Alerts.
• Experience architecting multi-project Landing Zones with Resource Manager, Organization Policy Service, and the Cloud Foundation Toolkit.
• Strong understanding of application security, identity management (Cloud IAM, Cloud Identity, Identity Platform), and cloud governance (Security Command Center, Assured Workloads, Policy Intelligence).
• Hands‑on experience designing GenAI/agentic architectures using Vertex AI, Gemini, RAG pipelines, and Vector Search.
• Strong communication, leadership, and stakeholder management skills.
• Proven ability to drive architectural decisions at the executive level.
• Knowledge of Agile Methodology and Practices.
• Deep experience with microservices architecture, serverless patterns, distributed system design, and event‑driven design.

Technical Skills

• Languages: Python, ReactJS/Angular, TypeScript, Bash.
• Compute & Serverless: Cloud Run, GKE Standard/Autopilot, Cloud Run functions, App Engine, Compute Engine fundamentals, Eventarc, Workflows.
• Architecture & Design: Domain-Driven Design (DDD), Microservices, Modular Monolith, Event-Driven Architecture, Hexagonal/Clean Architecture, Twelve-Factor Apps, distributed systems.
• API Integration & Architecture: REST, gRPC, OpenAPI, API Gateway, Apigee, Pub/Sub, Managed Service for Apache Kafka, Cloud Tasks.
• Distributed System Patterns: Saga, Transactional Outbox, Idempotency, Retry/Backoff, Circuit Breaker, CQRS, Event Sourcing (where justified), caching, eventual consistency.
• Data Architecture: Cloud SQL/PostgreSQL, Spanner, Firestore, Bigtable, Memorystore/Redis, Cloud Storage; BigQuery awareness.
• Container Architecture: Docker, Kubernetes, GKE, Helm, autoscaling, Ingress/Gateway API, Cloud Service Mesh.
• DevSecOps: Terraform, Cloud Build, Cloud Deploy, Artifact Registry, GitHub Actions, Helm, Argo CD.
• Reliability & Observability: Cloud Logging, Cloud Monitoring, Cloud Trace, OpenTelemetry, SLI/SLO, error budgets, HA/DR, RTO/RPO.
• GenAI Architecture: Vertex AI, Gemini APIs, RAG Engine, Vector Search, embeddings, grounding, Agent Development Kit (ADK), agentic workflows, evaluation, guardrails.
• AI Development Tools: Claude Code, Cursor, GitHub Copilot.

Must-Have Skills

• GCP application architecture
• GKE
• Cloud Run
• Microservices
• Apigee
• Cloud Spanner
• Gemini

Nice to Have

• Google Cloud Professional Cloud Architect or specialty certifications.
• DevOps experience (CI/CD pipelines using Cloud Build, GitHub Actions, Jenkins).
• Experience with GCP migration tools (Migrate for Compute Engine, Database Migration Service, Storage Transfer Service, BigQuery Data Transfer Service).
• Experience building and scaling architecture practices within consulting organizations.
• Experience with the Google Cloud Well-Architected Partner ecosystem and conducting formal Architecture Framework reviews.