GCP Architect

Company Brief

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains.

Our Client is building a next-generation Warehouse-as-a-Service platform leveraging Google Cloud Platform (GCP) , microservices architecture, and AI-driven capabilities. We are seeking a Senior GCP IT Architect with 10+ years of overall IT experience and proven expertise in architecting enterprise-grade cloud solutions.

This is a hands-on architecture role requiring deep mastery of GKE, App Engine, Cloud Run, Cloud Functions, microservices , and advanced databases such as AlloyDB, Cloud Spanner, and Cloud SQL — combined with the latest knowledge of GCP innovations, best practices, and emerging services . The architect will work closely with global teams to design, guide, and oversee secure, scalable, and high-performing deployments.

This position is an on-site position for Chennai .

Experience & Qualifications :

• 10+ years in IT, with 5+ years in cloud architecture and 3+ years on GCP .
• Proven success in designing GKE-based microservices for production at scale.
• Strong experience with App Engine, Cloud Run, and Cloud Functions .
• Expertise in AlloyDB, Cloud Spanner, and Cloud SQL database solutions.
• Knowledge of latest GCP services, AI / ML tools, and modern architecture patterns .
• Proficiency in API architecture, service integration, and distributed system design .
• Strong grasp of Git, DevOps automation, and CI / CD pipelines .
• Experience embedding AI / ML capabilities into cloud-native applications.
• Up-to-date on GCP security best practices and compliance requirements.
• Excellent communication skills for working with global, distributed teams.
• Experience in Green Field implementation.
• Experience in Big data frameworks, Spark, Python SQL.
• Experience in Medallion architecture, Data Modelling, Data streaming solutions.
• Experience in LLM, Open AI Integration (or) Vertex AI is big plus.
• Experience in any visualization tools (PowerBI, Qlik) is a plus.

Main tasks and responsibilities :