Site Reliability Engineer • Senior

Who you are

You have 5+ years of experience in site reliability engineering, with a strong focus on Linux systems and virtualization technologies. Your background includes troubleshooting complex production issues and ensuring the reliability and performance of compute nodes running virtual machines. You understand the intricacies of operating systems and hypervisors, and you are adept at analyzing and debugging systems across user space and kernel space.

You thrive in collaborative environments and enjoy working closely with cross-functional teams to embed reliability and observability into cloud infrastructure. Your problem-solving skills are top-notch, and you have a keen ability to analyze trade-offs at various layers of the system. You are passionate about cloud computing and are excited to contribute to the AI economy.

What you'll do

As a Senior Site Reliability Engineer at Nebius AI, you will be responsible for ensuring the reliability, availability, and performance of compute nodes across all cloud regions. You will analyze and debug Linux systems, working closely with the Compute Node team to enhance the cluster scheduler and node-level services. Your role will involve troubleshooting complex production issues and implementing solutions that improve operational reliability.

You will collaborate with other engineers to shape how reliability and observability are integrated into the Compute platform. Your contributions will directly impact the performance of virtual machines and the overall efficiency of the cloud infrastructure. You will also have opportunities to mentor junior engineers and share your expertise within the team.

What we offer

Nebius AI provides a competitive salary and a comprehensive benefits package, along with opportunities for professional growth within the company. We value initiative and innovation, fostering a dynamic and collaborative work environment. With flexible working arrangements, you can balance your professional and personal life while contributing to cutting-edge AI cloud infrastructure.