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 :

Cloud Architecture Ownership – Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms.

GKE & Microservices Expertise – Define Google Kubernetes Engine architecture, service mesh, scaling policies, and microservices deployment patterns.

Latest GCP Adoption – Evaluate, recommend, and implement new GCP services and capabilities (e.g., Duet AI, latest networking features, new database offerings) for competitive advantage.

Application Deployment Strategy – Architect deployment models using App Engine, Cloud Run, and Cloud Functions for optimal performance and cost.

DevOps Integration – Establish CI / CD pipelines using Gemini Code Assist , CLI tools, and Git workflows to enable continuous delivery.

Database Architecture – Design resilient, high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL .

Security & Compliance – Build security into the architecture using IAM, VPC Service Controls, encryption, and compliance frameworks.

AI Integration – Leverage Google Vertex AI, NLP APIs, and other AI tools to embed intelligence into core applications.

Performance Optimization – Conduct architecture reviews, performance testing, and cost optimization on a regular basis.

Technical Guidance – Collaborate with front-end, back-end, and DevOps teams to ensure adherence to architecture principles.