# Support Engineering Team Lead

**Company**: Nebius
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $179,500-$224,300 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/nebius/jobs/5017733101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8a240990-698

## Description

We are looking for an L3 Support Engineering Lead to help grow a small team responsible for resolving Nebius' most complex customer issues.

This is a hands-on technical role that combines deep troubleshooting with day-to-day team leadership. You will provide technical direction, help organize the team's work and step into complex investigations when your expertise is needed.

Responsibilities:

- Lead and support a small, distributed team of L3 Support Engineers.

- Help plan, prioritize and distribute work based on customer impact, technical complexity and team capacity.

- Provide technical guidance and hands-on support for complex or high-impact customer issues.

- Coach engineers, share knowledge and help the team become increasingly independent.

- Build strong working relationships with L2 Support, pre-sales, post-sales, customer engineering, product and engineering teams.

- Ensure escalations include the necessary technical context, evidence and customer information.

- Identify whether an issue belongs to the platform, a customer environment or another technical area, and involve the appropriate specialists.

- Maintain high standards for troubleshooting, documentation, handoffs and customer communication.

- Identify recurring issues and gaps in tooling, documentation, processes or team knowledge, and help drive practical improvements.

- Support team planning, coverage and forecasting as the organization grows.

- Participate in scheduled operational or duty work when specialist expertise is required.

- Contribute to hiring and onboarding additional engineers as the team expands.

Requirements:

- Strong hands-on experience troubleshooting complex production, cloud or infrastructure-related issues.

- Experience leading technical work, mentoring engineers or coordinating a small team or task force.

- Clear and confident communication with customers, engineers and cross-functional stakeholders.

- Strong working knowledge of Linux environments.

- Experience with Kubernetes and container-based platforms.

- Practical understanding of infrastructure fundamentals, including networking and storage.

- Familiarity with block, file and object storage and the ability to investigate issues across these technologies.

- Sound judgment when working through ambiguous or high-impact technical problems.

- Ability to organize work, set priorities and keep multiple stakeholders aligned.

Nice to have:

- Experience supporting GPU cloud infrastructure or AI/ML workloads.

- Experience planning or troubleshooting model deployments.

- Familiarity with Python or Bash scripting and technical automation.

- Experience working in a technical support, SRE, production operations or customer engineering organization.

- Experience collaborating with globally distributed teams that provide 24/7 customer coverage.

Benefits:

- 100% company-paid medical, dental, and vision coverage for employees and families.

- 401(k) plan: Up to 4% company match with immediate vesting.

- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

- Remote work reimbursement: Up to $85/month for mobile and internet.

- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation: $179,500-$224,300 USD

## Skills

### Required
- Linux
- Kubernetes
- container-based platforms
- infrastructure fundamentals
- networking
- storage
- block storage
- file storage
- object storage
- AI and ML operations
- model deployment
- inference
- performance troubleshooting
- workload scheduling
- GPU computing
- high-performance computing
- Slurm

### Nice to have
- Python
- Bash scripting
- technical automation
- GPU cloud infrastructure
- AI/ML workloads
- model deployments

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/5017733101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)