5 дней назад
Designated Services Engineer (Remote US)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Designated Services Engineer (AI infrastructure): Supporting enterprise customers by troubleshooting distributed storage, networking, cloud, and Linux-based infrastructure with an accent on customer-facing technical expertise, system monitoring, and cross-functional issue resolution. Focus on diagnosing complex hardware and performance problems, improving product supportability, and managing follow-the-sun support across multiple concurrent cases.
Location: U.S. Remote
Company
develops NeuralMesh, a cloud and AI-native data infrastructure platform that improves GPU utilization and accelerates machine learning, model training, inference, and other compute-intensive workloads.
What you will do
- Serve as the primary technical liaison between customers and Engineering.
- Troubleshoot hardware failures, network congestion, performance bottlenecks, and other enterprise infrastructure issues.
- Monitor systems remotely and proactively identify potential problems.
- Support account teams, pre-sales engineers, partners, and resellers with technical expertise.
- Own, track, document, and communicate customer issues through the ticketing system.
- Contribute to FAQs, knowledge-base articles, and product supportability improvements while managing multiple cases and projects.
Requirements
- 10+ years of experience in customer-facing technical roles handling complex enterprise infrastructure issues.
- Experience with L3 or higher enterprise infrastructure support in Linux-based storage, networking, virtualization, or cloud environments.
- Strong understanding of distributed storage, networking technologies including Infiniband, Ethernet, DPDK, and UCX, and cloud computing.
- Expertise in Linux/Unix administration and proficiency in Python and Bash for automation, monitoring, and troubleshooting.
- Knowledge of POSIX, NFS, S3, log management, Prometheus, and Grafana.
- Availability for on-call rotations, alternative work hours, weekends, holidays, and potential regional or international travel.
Nice to have
- Experience with JIRA, Confluence, Slack, and other collaboration tools.
- Familiarity with Kubernetes, containers, LXC, and AWS, Azure, OCI, or GCP.
- Experience managing large-scale HPC clusters.
- Strong technical writing skills and a creative approach to problem-solving.
Culture & Benefits
- Customer-centric environment focused on enterprise customer success.
- Collaborative culture built on accountability, transparency, empathy, and constructive problem-solving.
- Opportunity to work with cutting-edge AI infrastructure technologies and major enterprise customers.
- Participation in follow-the-sun support rotations as needed.
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