Cloud Systems Engineer

21 hours ago


Kanpur, Uttar Pradesh, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Cloud Infrastructure Architect

About the Role

We are seeking a highly skilled and passionate individual to lead our cloud infrastructure team. As a key member of our engineering department, you will be responsible for designing, implementing, and optimizing our cutting-edge infrastructure.

In this role, you will play a pivotal part in developing and maintaining production-scale platforms within the GenAI or ML domain. You will work closely with architects to design robust and scalable systems, providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.

Key Responsibilities:

  • 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.
  • Design and develop robust performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Experience in developing comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Build 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.
Requirements

To be successful in this role, you will need:

  • 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 decisions with internal team.
  • An 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 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.
Preferred Skills

Prior experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework would be an advantage. Additionally, practical, production-level experience across major cloud platforms: Azure Cloud, Google Cloud Platform (GCP), or Amazon Web Services (AWS) is preferred.

A strong track record of successfully refactoring and optimizing software for deployment within Kubernetes environments is also desired.

We are looking for individuals who can decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation, along with designing simple, self-sustaining systems.



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