Senior Data Solutions Engineer

4 days ago

Varanasi, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Associate Architect

This is an exciting opportunity to work with cutting-edge GPU compute clusters, designing and implementing innovative solutions that support critical workloads.

Our ideal candidate will have a strong background in developing ML Infrastructure and hands-on experience building and deploying production-ready services on Kubernetes. They should also be able to effectively communicate complex technical designs and quality approaches across various mediums.

  • Design and implement state-of-the-art GPU compute clusters to support critical workloads.
  • Develop comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Develop robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Plan comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Architect a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • Troubleshoot, diagnose, and perform root cause analysis of system failures, isolating components and failure scenarios in collaboration with internal and external partners.
  • Optimize cluster operations for maximum reliability, efficiency, and performance.
Required Skills and Qualifications:
  • 6-8 years of experience working with developing ML Infrastructure.
  • 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.
  • A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
  • The ability to effectively communicate complex technical designs and quality approaches across various mediums.
  • A deep understanding of GPU computing and AI infrastructure.
  • A strong passion for solving complex technical challenges and optimizing system performance.
  • Working knowledge of cluster configuration management tools such as BCM or Ansible, and infrastructure-level applications including Kubernetes, Terraform, and MySQL.
  • In-depth understanding of container technologies like Docker and Containers.
  • Proficiency in programming with Python and Bash scripting.
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