Nebius

Site Reliability Engineer

Nebius
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13 days ago
Remote, United StatesMid Level

Base Salary

$130k - $180k/yr

Responsibilities

  • Ensure fault tolerance, scalability, and uninterrupted operation of services.
  • Use infrastructure technology to solve complex operational problems.
  • Implement and improve CI/CD processes.
  • Monitor and support data-center engineering equipment, IT equipment, and server-production systems.
  • Track assets and hardware repair tasks.
  • Troubleshoot hardware, software, and networking problems and optimize system performance.

Requirements

  • Proficiency in Linux systems.
  • Expertise in Python and Bash scripting for automation.
  • Ability to troubleshoot complex hardware, software, and networking issues.
  • Strong analytical and problem-solving skills focused on system performance optimization.
  • Working proficiency in English.
  • Experience designing, developing, and operating high-load distributed systems is a preferred qualification.
  • Backend development experience is a preferred qualification.

Benefits

  • 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan with up to a 4% company match and immediate vesting.
  • Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
  • Remote work reimbursement of up to $85 per month for mobile and internet.
  • Company-paid short-term disability, long-term disability, and life insurance.
  • Primarily remote work arrangement with occasional travel to data centers.
  • Career growth and learning opportunities, flexibility, ownership, and an international collaborative work environment.

Tech Stack

Categories

Site Reliability
Nebius

About Nebius

1,001-5,000 employees

Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.

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