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Cloud Architect

Cloud Architect

Peoplefy
10-12 Years
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

Greetings from Peoplefy!

Role: IT Architect (GCP)

Location - Chennai

Experience - 10+ years

Position Summary: 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.

Key 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.

Experience & Qualifications:

• Experience currently or previously working in retail/e-commerce/logistics or SCM domain

• 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.

If interested please share your updated resume on [Confidential Information]

More Info

Job Type:
Industry:
Function:
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Key Skills

Cloud Run

NLP APIs

Cloud SQL

AlloyDB

GKE

Gemini Code Assist

VPC Service Controls

Cloud Spanner

Google Vertex AI

Cloud Functions

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