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Customer Support Engineer

1 hour, 39 minutes ago
Anywhere
Senior
Technical Support Engineer
Customer and Technical Support
AWS Azure Bash GCP Go Kubernetes Linux LLM Machine Learning Python
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 186

Description

  • Investigate and resolve complex technical issues in customer environments.
  • Troubleshoot Linux, Kubernetes, cloud infrastructure, networking, storage, and GPU-related workloads.
  • Support customers running containerized systems, inference workloads, training jobs, and other distributed platforms.
  • Act as a senior escalation point for production incidents.
  • Reproduce issues, identify root causes, and partner with engineering on long-term fixes.
  • Build or improve internal scripts, troubleshooting tools, and operational documentation.
  • Improve support scalability through automation, observability, and process enhancements.
  • Communicate clearly with customers during active investigations and incidents.
  • Participate in weekend coverage and urgent incident response.

Requirements

  • Strong Linux troubleshooting skills.
  • Strong Kubernetes and container experience.
  • Solid understanding of cloud infrastructure in AWS, GCP, Azure, OpenStack, or similar environments.
  • Good networking fundamentals.
  • Ability to write scripts or small tools in Python, Bash, Go, or similar.
  • Experience working on production issues that require structured debugging and cross-team collaboration.
  • Ability to work independently when the path to resolution is not obvious.
  • Clear written communication for explaining technical issues to customers and internal teams.
  • Experience with GPU-based infrastructure (especially valuable).
  • Familiarity with AI/ML or LLM-related workloads (especially valuable).
  • Understanding of inference and training pipelines (especially valuable).
  • Experience improving observability, tooling, or operational workflows (especially valuable).
  • History of building useful internal tools or automating repetitive work (especially valuable).
  • Personal or open-source projects that demonstrate technical depth (especially valuable).
  • Applicants must be authorized to work in the country where they apply.

Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and work-life balance.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment and talented teams.

Interested in this position?

Apply directly on the company website

Apply Now

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