Senior Cloud Infrastructure Specialist

2 days ago

Ahmedabad, Gujarat, India beBeeJob Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Platform Architect Job Opportunity

We are seeking an experienced Platform Architect to play a pivotal role in designing and implementing cutting-edge infrastructure for critical GenAI workloads.

Key Responsibilities:
  • Designing state-of-the-art GPU compute clusters to support critical workloads.
  • Implementing 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 will have over 6-8 years of experience working with developing ML Infrastructure and hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes. Additionally, they should have a proven history of engaging with and contributing to open-source projects, a collaborative spirit, and the ability to effectively communicate complex technical designs and quality approaches across various mediums.

Candidates who possess significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework, will be highly competitive. They should also have practical, production-level experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS). The ability to adapt to new technologies and Frameworks in ML/GenAI landscape is essential. A strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments is also required.

We offer a dynamic and challenging environment where you can grow your skills and expertise as a Platform Architect. If you are passionate about solving complex technical challenges and optimizing system performance, we encourage you to apply for this exciting opportunity.

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