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 Skilled 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.

📌 GCP Solution Architect Director (Kolkata)
🏢 PwC
📍 Kolkata