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Platform Architect

3 weeks ago


Erode, Tamil Nadu, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Infrastructure Engineer - AI/ML

We are seeking a highly skilled and passionate Senior Infrastructure Engineer to join our team. In this role, you will play a pivotal part in designing, implementing, and optimizing our cutting-edge infrastructure for critical GenAI workloads.

Key Responsibilities:
  • Designing State-of-the-Art GPU Compute Clusters: You will be responsible for designing and implementing state-of-the-art GPU compute clusters to support critical workloads.
  • Automated Testing Strategies: You will design comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Performance Testing Frameworks: You will develop robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Comprehensive Monitoring Solutions: You will plan comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Specialized Test Frameworks: You will design specialized test frameworks for security controls and ensure compliance validation across payment and personal data.
  • Scalable Automation Infrastructure: You will architect a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.

In addition to these key responsibilities, you will also troubleshoot, diagnose, and perform root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners. You will optimize cluster operations for maximum reliability, efficiency, and performance.

Requirements:
  • Experience: Over 6-8 years of experience working with developing ML Infrastructure.
  • Kubernetes Experience: Over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
  • Open-Source Contributions: A proven history of engaging with and contributing to open-source projects.
  • Collaboration: A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
  • Communication: The ability to effectively communicate complex technical designs and quality approaches across various mediums.
  • AI Infrastructure: A deep understanding of GPU computing and AI infrastructure.
  • Technical Skills: Working knowledge of cluster configuration management tools such as BCM or Ansible, and infrastructure-level applications including Kubernetes, Terraform, and MySQL.

This role requires a strong passion for solving complex technical challenges and optimizing system performance. If you have the skills and experience we're looking for, please apply today