Senior Cloud Architect

1 week ago

Madurai, Tamil Nadu, India beBeeCloud Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title

Cloud Architecture Expert

Role Overview

We are seeking a skilled engineer to champion cloud-native development with an emphasis on Kubernetes.

Key Responsibilities
  • Designing and implementing state-of-the-art GPU compute clusters for critical workloads.
  • Developing comprehensive automated testing strategies across unit, integration, API, and end-to-end levels.
  • Creating robust performance testing frameworks to validate platform scalability and resilience.
  • Planning monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Designing specialized test frameworks for security controls and ensuring compliance validation.
Requirements
  • Over 6-8 years of experience working with ML Infrastructure.
  • Hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
  • A proven history of contributing to open-source projects.
  • A collaborative spirit demonstrated by prior work developing scalable software solutions for cloud services.
  • The ability to communicate complex technical designs effectively.
  • A deep understanding of GPU computing and AI infrastructure.
  • A strong passion for solving complex technical challenges and optimizing system performance.
  • Working knowledge of cluster configuration management tools and infrastructure-level applications.
  • In-depth understanding of container technologies like Docker and Containers.
  • Proficiency in programming with Python and Bash scripting.

Candidates who possess the following will be highly competitive:

  • Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
  • Practical experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
  • Ability to adapt to new technologies and frameworks in the ML/GenAI landscape.
  • Strong track record of refactoring and optimising software for deployment within Kubernetes environments.

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