Cloud Architect

1 day ago

Amrāvati, Maharashtra, India beBeeSystem Full time ₹ 18,00,000 - ₹ 24,50,000
Infrastructure Engineer

We are seeking a highly skilled and passionate professional to join our team as an Infrastructure Engineer.

  • Design and Implement Infrastructure:
  • Developing state-of-the-art GPU compute clusters to support critical workloads, collaborating with internal and external partners.
  • Creating comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Designing 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.
  • Architecting specialized test frameworks for security controls and ensuring compliance validation across payment and personal data.
  • 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.

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.
  • 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.

Key Differentiators:

  • 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.
  • A strong track record of successfully refactoring and optimising software for deployment within Kubernetes environments.
  • Comfort discussing and working with core Kubernetes concepts like CSI, CNI, and CRI.
  • Comprehensive understanding of the CNCF landscape and its associated tooling.
  • The ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation, along with designing simple, self-sustaining systems.
  • Experience leveraging AI/ML to proactively detect and resolve incidents, automate alert triaging, perform log analysis, and streamline repetitive workflows.

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