3 дня назад
Technical Support Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Support Engineer (AI): Delivering technical support for large-scale AI infrastructure by troubleshooting complex customer networking environments and coordinating resolutions with software and hardware engineering teams with an accent on network protocols, data center technologies, and diverse network operating systems. Focus on diagnosing difficult networking issues, providing timely workarounds, managing service-level commitments, and supporting 24/7 coverage through an on-call rotation.
Location: Sydney, New South Wales, Australia (Hybrid)
Company
develops foundational hardware, software, networking, and cloud technologies for large-scale AI deployments.
What you will do
- Provide timely and effective technical support across chat, phone, and web channels.
- Troubleshoot complex customer environments, diagnose networking issues, and deliver workarounds and resolutions within service level agreements.
- Collaborate with Software and Hardware Engineering teams to investigate issues and implement fixes.
- Track, classify, prioritize, and report on customer cases and support metrics.
- Build deep product expertise and understand customer usage patterns.
- Participate in an on-call rotation to provide 24/7 support coverage.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
- At least 5 years of experience in technical support.
- Proficiency in BGP, OSPF, VxLAN, data center technologies, and network operating systems including IOS, IOS-XR, EOS, and Junos.
- Proven ability to debug and troubleshoot complex networking issues.
- Significant experience in DevOps, Network Operations, or Network Engineering within a cloud provider or enterprise-level team.
Nice to have
- Experience with SONiC or another open-source operating system.
Culture & Benefits
- Collaborative startup environment with experienced engineers.
- Opportunities to learn from specialists in hardware, software, systems, networking, and cloud development.
- Work on mission-critical technologies for next-generation AI infrastructure.
- Culture focused on collaboration, creativity, and solving challenging computer systems problems.
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