Platform Expertise Lead

3 days ago

Jamnagar, Gujarat, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,40,00,000
**Job Opportunity:** Associate ArchitectWe are seeking a highly skilled and passionate Platform Engineer to design, implement, and optimize cutting-edge infrastructure for critical GenAI workloads.The ideal candidate will partner with architects to design and implement highly robust and scalable systems, providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.Responsibilities include designing state-of-the-art GPU compute clusters, implementing comprehensive automated testing strategies, developing robust performance testing frameworks, planning monitoring solutions, and architecting scalable automation infrastructure.Key requirements include over 6-8 years of experience in ML Infrastructure, hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes, and a strong passion for solving complex technical challenges and optimizing system performance.Candidates should possess significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework, and be able to adapt to new technologies and Frameworks in the ML/GenAI landscape.**Required Skills & Qualifications:
  • Designing and implementing 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.
**Additional Information:Optimizing cluster operations for maximum reliability, efficiency, and performance.

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