Principal Enterprise Cloud Solution Architect

3 days ago

Chennai, Tamil Nadu, India beBeeExpert Full time ₹ 14,99,999 - ₹ 24,99,999

Cloud Architect Position Summary

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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.

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Key Responsibilities:

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  • Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms.">
  • Define Google Kubernetes Engine architecture, service mesh, scaling policies, and microservices deployment patterns.">
  • Evaluate, recommend, and implement new GCP services and capabilities (e.g., Duet AI, latest networking features, new database offerings) for competitive advantage.">
  • Architect deployment models using App Engine, Cloud Run, and Cloud Functions for optimal performance and cost.">
  • Establish CI/CD pipelines using Gemini Code Assist, CLI tools, and Git workflows to enable continuous delivery.">
  • Design resilient, high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL.">
  • Build security into the architecture using IAM, VPC Service Controls, encryption, and compliance frameworks.">
  • Leverage Google Vertex AI, NLP APIs, and other AI tools to embed intelligence into core applications.">
  • Conduct architecture reviews, performance testing, and cost optimization on a regular basis.">
  • Collaborate with front-end, back-end, and DevOps teams to ensure adherence to architecture principles.">
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Experience & Qualifications:

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We are looking for someone with 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 is required. Experience working in retail/e-commerce/logistics or SCM domain is also necessary. Proficiency in API architecture, service integration, and distributed system design is expected. Strong grasp of Git, DevOps automation, and CI/CD pipelines is a must. If you have experience embedding AI/ML capabilities into cloud-native applications, that's a big plus.

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The ideal candidate should be up-to-date on GCP security best practices and compliance requirements and have excellent communication skills for working with global, distributed teams.

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