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Platform Development Expert

2 weeks ago

Thiruvananthapuram, Kerala, India beBeeArchitecture Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

Leverage your expertise in production-scale platforms within the GenAI or ML domain as a Platform Architect. You'll design, develop and maintain 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 providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.

We're seeking an engineer who champions Cloud-Native development, with a particular emphasis on Kubernetes.

Key Responsibilities:

  • Designing and implementing state-of-the-art GPU compute clusters to support critical workloads.
  • Developing robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Planning comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • 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.

Requirements:

  • Over 6-8 years of experience working with developing ML Infrastructure.
  • Over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.
  • A proven history of engaging with and contributing to open-source projects.
  • Collaborative spirit demonstrated by prior work developing scalable software solutions for cloud services.

Benefits and Opportunities

  • Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
  • Practical, production-level experience across major cloud platforms: Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
  • Ability to adapt to new technologies and Frameworks in ML/GenAI landscape.

What We Are Looking For