Platform Infrastructure Specialist

2 days ago

Thiruvananthapuram, Kerala, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title:

We are seeking a highly skilled and experienced engineer to fill this role.

About the Position:

This is an opportunity for a passionate Platform Engineer to join our team in designing, implementing, and optimizing cutting-edge infrastructure.

Your Key Responsibilities:

  • Implement state-of-the-art GPU compute clusters to support critical workloads.
  • Develop automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for commerce flows.
  • Create performance testing frameworks to validate platform scalability, resilience, and identify optimization opportunities.
  • Develop monitoring solutions with alerting systems to track platform health and ensure service level agreements compliance.
  • Build a scalable automation infrastructure that supports growing capabilities with consistent test environments.
  • Troubleshoot system failures, diagnose issues, and perform root cause analysis in collaboration with partners.
  • Optimize cluster operations for maximum reliability, efficiency, and performance.

You Will Have:

  • A minimum of 3 years of direct experience building and deploying production-ready services on Kubernetes.
  • A proven history of contributing to open-source projects.
  • A collaborative mindset, demonstrated by prior work developing scalable software solutions for cloud services.
  • The ability to effectively communicate complex technical designs and decisions.
  • 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 like 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.

Distinguishing Qualifications:

  • Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.
  • Production-level 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 Cloud Native Computing Foundation landscape and its associated tooling.
  • The ability to decompose complex problems into simpler sub-problems and leverage existing solutions for efficient implementation.
  • Experience leveraging AI/ML to detect and resolve incidents, automate alert triaging, perform log analysis, and streamline workflows.

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