Job Description

GCP Solutions Architect We are looking for an experienced GCP Solutions Architect to design scalable, secure, integrated, and cost-effective cloud solutions across data, applications, integration, and AI/ML platforms. Key Responsibilities - Design end-to-end solutions on GCP based on business and technical requirements. - Strong experience with GCP Data Engineering services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, and Dataform. Design enterprise applications and data integrations using APIs, Apigee, Pub/Sub, Cloud Run, Workflows, and event-driven architectures. - Architect AI/ML and Generative AI solutions using Vertex AI, LLMs, RAG, embeddings, and vector search. - Design secure, scalable, highly available, and resilient cloud architectures. - Define integration with on-premises, third-party, SaaS, and enterprise applications. - Ensure cloud cost optimization, FinOps, and TCO are considered in architecture decisions. - Strong understanding of GCP networking, IAM, security, Kubernetes, Terraform, CI/CD, and monitoring. - Create architecture diagrams, HLD/LLD, technical designs, and architecture decision documents. - Collaborate with data engineers, developers, DevOps, security, business, and product teams. Required Skills - Strong hands-on GCP architecture experience - Data Engineering & Data Architecture - GCP Integration & API Architecture - Vertex AI / GenAI - Cloud security and networking - Microservices and event-driven architecture - Terraform / IaC and DevOps - Cloud cost optimization / FinOps - Strong communication and stakeholder management skills Experience - 8+ years of IT experience with significant experience in cloud architecture and GCP. - Google Cloud certification, such as Professional Cloud Architect, is preferred.