PwC - Director - GCP Solution Architect

Pricewater House Coopers Service Delivery Center; Kolkata District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PricewaterhouseCoopers Service Delivery Center in India seeks a senior cloud architect with 16+ years in IT architecture and 8+ years on GCP. You will lead enterprise-scale cloud programs, define multi‑project landing zones, and drive architecture decisions at the executive level.

You must have deep hands-on experience with Terraform, Kubernetes, Apigee, gRPC, OpenAPI, and GenAI workflows, plus strong leadership and stakeholder management skills in a fast‑moving consulting environment.

Qualifications

• GCP architecture expertise with enterprise-scale programs.
• Strong leadership and executive decision-making ability.
• Hands-on experience with Terraform, Kubernetes and API ecosystems.

Skills

GCP architecture

Leadership

Stakeholder management

Agile

Cloud governance

GenAI architecture

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Terraform

Kubernetes

Apigee

OpenAPI

Cloud Build

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 (ref:hirist.tech) .