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Senior Infrastructure Specialist

2 weeks ago

Mount Abu, Rajasthan, India beBeeInfrastructure Full time ₹ 25,00,000 - ₹ 30,00,000
Job Title: Senior Infrastructure Specialist

We are seeking a highly skilled and passionate Platform Engineer with expertise in production-scale platforms within the GenAI or ML domain. In this role, you'll be instrumental in designing, developing, and maintaining cutting-edge build and test environments for critical GenAI workloads running on foundational cloud infrastructure.

You'll partner with architects to design and implement highly robust and scalable systems, while also providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.

As a Senior Infrastructure Specialist, you will play a pivotal role in designing, implementing, and optimizing our cutting-edge infrastructure.

  • Main Responsibilities:
  • Designing state-of-the-art GPU compute clusters to support critical workloads.
  • Designing comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Developing robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Planning of comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Designing specialized test frameworks for security controls and ensuring compliance validation across payment and personal data.
  • Architecting a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • Troubleshooting, diagnosing, and performing root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
  • Optimizing cluster operations for maximum reliability, efficiency, and performance.

The ideal candidate should have over 6-8 years of experience working with developing ML Infrastructure, hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes, and a proven history of engaging with and contributing to open-source projects.