Infrastructure Developer

19 hours ago

Gandhinagar, Gujarat, India beBeePlatform Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

We are seeking a skilled and experienced Platform Engineer to join our team. In this role, you will be responsible for designing, implementing, and optimizing our cutting-edge infrastructure.

As a Platform Engineer, you will play a pivotal role in developing and maintaining production-scale platforms within the GenAI or ML domain. You will partner with architects to design and implement highly robust and scalable systems, while also providing crucial development support to SRE/Operations teams as they tackle complex distributed systems challenges at scale.

Responsibilities
  • Implementing state-of-the-art GPU compute clusters to support critical workloads.
  • Developing comprehensive automated testing strategies and frameworks across unit, integration, API, and end-to-end levels for critical commerce flows.
  • Ability to create 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.
  • Building a scalable automation infrastructure that supports growing platform capabilities with consistent test environments.
  • 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

We are seeking a highly skilled and passionate Platform Engineer with over 3 years of hands-on experience in large-scale direct experience building and deploying production-ready services on Kubernetes.

The ideal candidate will have a proven history of engaging with and contributing to open-source projects, demonstrated by prior work developing scalable software solutions for cloud services.

  • 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 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.
Preferred Qualifications

Candidates who possess the following qualifications will be highly competitive:

Significant experience with sophisticated infrastructure tooling, including Kubernetes Cluster API, Terraform, Helm, and Operator Framework.

Practical, 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 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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