Building Scalable Cloud Infrastructure

2 days ago

Aligarh, Uttar Pradesh, India beBeeCloud Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Title: Cloud Infrastructure Architect

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As a Cloud Infrastructure Architect, you will play a pivotal role in designing, implementing, and optimizing cutting-edge infrastructure for critical GenAI workloads.

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  • Design state-of-the-art GPU compute clusters to support business-critical applications.
  • Implement comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels.
  • Develop robust performance testing frameworks to validate platform scalability and identify optimization opportunities.
  • Plan comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Design specialized test frameworks for security controls and ensure compliance validation across payment and personal data.
  • Architect scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • Troubleshoot system failures, diagnose root causes, and collaborate with internal and external partners to resolve issues.
  • Optimize cluster operations for maximum reliability, efficiency, and performance.

Requirements:

  • 6-8 years of experience working with developing ML infrastructure.
  • 3+ years of hands-on experience building and deploying production-ready services on Kubernetes.
  • A proven history of engaging with open-source projects.
  • A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
  • Ability to effectively communicate complex technical designs and quality approaches across various mediums.
  • Deep understanding of GPU computing and AI infrastructure.
  • Strong passion for solving complex technical challenges and optimizing system performance.
  • Working knowledge of cluster configuration management tools and infrastructure-level applications.
  • Proficiency in programming with Python and Bash scripting.

Ways To Stand Out From The Crowd:

  • Significant experience with sophisticated infrastructure tooling.
  • Production-level experience across major cloud platforms.
  • Ability to adapt to new technologies and frameworks in the ML/GenAI landscape.
  • Strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments.
  • Comfort discussing core Kubernetes concepts.
  • Comprehensive understanding of the CNCF landscape and its associated tooling.
  • Ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation.

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