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Runpod

Rents cloud GPUs for building AI applications

Technical Support Engineer

Customer SupportUpdated on Nov 7
Full-timeRemote in USA$55k - $73.3k

About the Job

Requirements

  • A bachelor's degree in computer science or equivalent professional experience.
  • At least 2 years of experience with shell scripting, Python, and SQL.
  • Experience with REST APIs and GraphQL.
  • Availability to work weekends (Saturday or Sunday) and an allocated shift if required.
  • Successful completion of a background check.

Responsibilities

  • Provide clear, timely communication to customers, keeping them informed about the status of their issues and ensuring a high level of customer satisfaction.
  • Deliver support through multiple channels, including email, phone, chat, and video calls such as Google Meet and Zoom.
  • Tackle basic technical or non-technical issues reported by customers or internal teams related to the software, ensuring problems are resolved efficiently.
  • Manage all Level 1 tickets, offering detailed solutions or escalating to a Level 2 analyst when necessary while maintaining ticket quality.
  • Educate customers on product features to help them resolve issues independently when possible.
  • Develop and update thorough documentation when there is no knowledge base coverage for a new issue.
  • Simplify technical jargon to explain solutions clearly to non-technical users, ensuring they understand the issues and resolutions.
  • Pay close attention to detail and proactively address customer needs in all interactions.
  • Escalate unresolved or complex issues to the appropriate teams, such as Level 2/3, the Support Lead, Documentation, Development, or Engineering, and follow up to ensure they are addressed.
  • Use diagnostic tools and techniques to find the root cause of issues.
  • Conduct thorough analysis of system behavior, errors, and configurations to help ensure systems remain stable and reliable when an incident is reported.

Desired Qualifications

  • Understanding of Docker and how to deploy applications.
  • Proficiency with observability tools.
  • Comfort working with customer relationship management and ticketing tools.
  • Understanding of AI fine-tuning or AI inference.
  • At least 2 years of experience as a network administrator, in DevOps, or in software development.
  • Advanced knowledge of operating systems, including understanding of SSH and the use of terminal commands, and experience with Linux server versions.

About the Company

Runpod

Rents cloud GPUs for building AI applications

Runpod rents cloud computing power to developers and businesses building AI applications, with GPUs for model training, fine-tuning, and running models for users. Its Pods give teams a dedicated environment to run their own containers, while Serverless turns code into endpoints that adjust capacity to incoming requests. Clusters link multiple GPUs for larger training jobs, and the platform includes tools to deploy and monitor workloads through a web console or software interfaces. Customers pay for metered compute time and storage, with options for reserved resources and enterprise support. Runpod was founded in 2022 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$122.3M
Headquarters
San Francisco, CA
Founded
2022

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