Google Cloud Platform Architect
House of Shipping
All India, Chennai • 1 month ago
Experience: 5 to 9 Yrs
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Job Description
As a Senior GCP IT Architect at our client's US-based company specializing in outsourced warehousing solutions, your role will involve designing and overseeing the implementation of enterprise-grade cloud solutions on Google Cloud Platform (GCP). You will be responsible for working closely with global teams to ensure secure, scalable, and high-performing deployments.
**Role Overview:**
You will be playing a hands-on architecture role, utilizing your expertise in GKE, App Engine, Cloud Run, Cloud Functions, microservices, and advanced databases to build a next-generation Warehouse-as-a-Service platform on GCP. Your main tasks will include cloud architecture ownership, GKE & microservices expertise, latest GCP adoption, application deployment strategy, DevOps integration, database architecture, security & compliance, AI integration, performance optimization, and technical guidance.
**Key Responsibilities:**
- **Cloud Architecture Ownership:** Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms.
- **GKE & Microservices Expertise:** Define GKE architecture, service mesh, scaling policies, and microservices deployment patterns.
- **Latest GCP Adoption:** Evaluate, recommend, and implement new GCP services and capabilities for competitive advantage.
- **Application Deployment Strategy:** Architect deployment models for optimal performance and cost.
- **DevOps Integration:** Establish CI/CD pipelines using CLI tools and Git workflows for 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, and encryption.
- **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 regularly.
- **Technical Guidance:** Collaborate with teams to ensure adherence to architecture principles.
**Qualifications Required:**
- 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.
- Proficiency in API architecture, service integration, and distributed system design.
- 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 a big plus.
- Experience in any visualization tools (PowerBI, Qlik) is a plus.
This role is based in Chennai and offers an exciting opportunity to work with cutting-edge technologies and make a significant impact on the company's cloud architecture.
(Note: Company additional details omitted as not provided in the JD) As a Senior GCP IT Architect at our client's US-based company specializing in outsourced warehousing solutions, your role will involve designing and overseeing the implementation of enterprise-grade cloud solutions on Google Cloud Platform (GCP). You will be responsible for working closely with global teams to ensure secure, scalable, and high-performing deployments.
**Role Overview:**
You will be playing a hands-on architecture role, utilizing your expertise in GKE, App Engine, Cloud Run, Cloud Functions, microservices, and advanced databases to build a next-generation Warehouse-as-a-Service platform on GCP. Your main tasks will include cloud architecture ownership, GKE & microservices expertise, latest GCP adoption, application deployment strategy, DevOps integration, database architecture, security & compliance, AI integration, performance optimization, and technical guidance.
**Key Responsibilities:**
- **Cloud Architecture Ownership:** Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms.
- **GKE & Microservices Expertise:** Define GKE architecture, service mesh, scaling policies, and microservices deployment patterns.
- **Latest GCP Adoption:** Evaluate, recommend, and implement new GCP services and capabilities for competitive advantage.
- **Application Deployment Strategy:** Architect deployment models for optimal performance and cost.
- **DevOps Integration:** Establish CI/CD pipelines using CLI tools and Git workflows for 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, and encryption.
- **AI Integration:** Leverage Google Vertex AI, NLP APIs, and other AI to
Skills Required
GCP
IT architecture
microservices
Git
Spark
GKE
App Engine
Cloud Run
Cloud Functions
AlloyDB
Cloud Spanner
Cloud SQL
AIML
API architecture
DevOps automation
CICD pipelines
Green Field implementation
Big data frameworks
Python SQL
Medallion architecture
Data Modelling
Data streaming solutions
LLM
Open AI Integration
Vertex AI
visualization tools
PowerBI
Qlik
Posted on: March 6, 2026
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