Cloud Infrastructure Specialist

21 hours ago

Amrāvati, Maharashtra, India beBeePlatformEngineer Full time ₹ 12,00,000 - ₹ 24,00,000

Key Responsibilities:

We are seeking an experienced Platform Engineer to join our team and contribute to the development of cutting-edge infrastructure.

  • Implementing scalable and efficient GPU compute clusters to support critical workloads.
  • Designing and developing automated testing strategies and frameworks for unit, integration, API, and end-to-end levels.
  • Creating robust performance testing frameworks to validate platform scalability and identify optimization opportunities.
  • Developing comprehensive monitoring solutions with alerting systems to track platform health and ensure SLA compliance.
  • Built a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • Troubleshooting system failures, isolating components, and performing root cause analysis 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 production-ready services on Kubernetes.
  • A proven history of engaging with open-source projects and contributing to their growth.
  • A collaborative spirit, demonstrated by prior work developing scalable software solutions for cloud services.
  • The ability to communicate complex technical designs and decisions effectively with internal teams.
  • 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 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.

Desirable Skills:

Candidates who possess the following skills will be highly competitive:

  • Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
  • Practical experience across major cloud platforms: Azure Cloud, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
  • A strong track record of successfully refactoring and optimizing software for deployment within Kubernetes environments.
  • Understanding of the CNCF landscape and its associated tooling.
  • Ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation.
  • Experience leveraging AI/ML to proactively detect and resolve incidents, automate alert triaging, perform log analysis, and streamline repetitive workflows.

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