Support Engineering Team Lead

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $179.5k - $224.3k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Lead and support a small, distributed team of L3 Support Engineers • 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 working relationships with L2 Support, pre-sales, post-sales, customer engineering, product and engineering teams • Ensure escalations include the technical context, evidence and customer information needed by the receiving team • Identify whether issues belong to the platform, customer environment or another technical area, and involve 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 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, occasionally outside standard business hours • 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 • Broad familiarity across AI/ML operations, GPU or high-performance computing workload scheduling, Kubernetes, cloud infrastructure, networking and storage, with deeper expertise in at least one domain • Fluent written and spoken English • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Experience supporting GPU cloud infrastructure or AI/ML workloads is an added bonus • Experience planning or troubleshooting model deployments is an added bonus • Familiarity with Python or Bash scripting and technical automation is an added bonus • Experience working in a technical support, SRE, production operations or customer engineering organization is an added bonus • Experience collaborating with globally distributed teams providing 24/7 customer coverage is an added bonus

🏖️ Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with up to 4% company match and immediate vesting • 20 weeks paid parental leave for primary caregivers • 12 weeks paid parental leave for secondary caregivers • Remote work reimbursement up to $85/month for mobile and internet • Company-paid short-term disability insurance • Company-paid long-term disability insurance • Company-paid life insurance coverage • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams • Accommodations during the application process

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