Customer Support Engineer
作为 Verge.io 的客户支持工程师，你将直接与客户合作帮助他们部署，运营和充分利用 VergeOS,解决复杂的基础设施问题并引导实施和迁移。这是一项喜欢解决困难的问题和直接与人们工作的人员的实践技术角色。你还将帮助转化所学到的知识成更好的文档和可重复过程，使用 AI 作为一个实用的工具来研究问题，分析日志，并找到更好解决反复问题的方法。你将直接与客户合作在他们对 VergeOS 的经验中，从实施和迁移到持续支持，优化和升级。包括：· 在 VergeOS 平台上解决故障和解决技术问题 ·管理升级和复杂的客户查询 ·通过实现和迁移引导客户 ·帮助客户优化他们的环境并遵循平台最佳做法 · 为升级，维护和其他平台变化提供技术指导 · 与工程合作调查和解决复杂的技术问题 · 记录技术解决方案并为我们内部和面向客户知识库做出贡献 ·识别经常出现的问题并将解决方案转换成可重复过程 · 使用人工智能研究问题，分析信息，改善响应以及建立更高效的支持和部署工作流程 · 在必要时参与了通话轮回。Verge.io 的你是谁成功的客户支持工程师是真正喜欢弄清楚事情如何运作，有时他们为什么不这样做的人。你很舒服地挖掘 Linux,虚拟化，网络，日志和基础设施配置来找到问题的根源。你可以在需要时独立工作，但也知道何时吸引工程或其他团队成员。你同样舒适地与人一起工作。你可以拿一个复杂的技术问题并清楚地解释给客户，保持沟通流动，当解决问题的时候，建立信心即使答案不立即明显。你还看着个人的门票之外。当你解决某件事时，你会想到我们如何才能做到这一点。
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We’re always interested in connecting with experienced Customer Support Engineers who could be a great fit for our team as Verge.io continues to grow.
As a Customer Support Engineer at Verge.io, you’ll work directly with customers to help them deploy, operate, and get the most out of VergeOS, troubleshooting complex infrastructure issues and guiding implementations and migrations along the way. It's a hands-on technical role for someone who enjoys solving hard problems and working directly with people.
You’ll also help turn what you learn into better documentation and repeatable processes, using AI as a practical tool to research issues, analyze logs, and find better ways to solve recurring problems.
The Role
You’ll work directly with customers throughout their experience with VergeOS, from implementation and migration through ongoing support, optimization, and upgrades. That includes:
- Troubleshooting and resolving technical issues across the VergeOS platform
- Managing escalations and complex customer inquiries
- Guiding customers through implementations and migrations
- Helping customers optimize their environments and follow platform best practices
- Providing technical guidance for upgrades, maintenance, and other platform changes
- Partnering with Engineering to investigate and resolve complex technical issues
- Documenting technical solutions and contributing to our internal and customer-facing knowledge base
- Identifying recurring issues and turning solutions into repeatable processes
- Using AI to research issues, analyze information, improve responses, and build more efficient support and deployment workflows
- Participating in an on-call rotation as needed
Who You Are
Successful Customer Support Engineers at Verge.io are technical problem-solvers who genuinely enjoy figuring out how things work, and why they sometimes don't.
You’re comfortable digging into Linux, virtualization, networking, logs, and infrastructure configurations to get to the root of a problem. You can work independently when needed, but you also know when to pull in Engineering or other members of the team.
You’re equally comfortable working with people. You can take a complicated technical issue and explain it clearly to a customer, keep communication moving while an issue is being resolved, and build confidence even when the answer isn't immediately obvious.
You also look beyond the individual ticket. When you solve something, you think about how we can document it, automate it, or improve the process so the next customer, and the rest of the team, benefits from what you learned.
The Experience We’re Looking For
We typically look for:
- Significant experience in technical support, infrastructure engineering, systems administration, or a similarly hands-on technical role
- Strong Linux administration skills, ideally within Debian-based environments
- Hands-on experience with virtualization technologies, including KVM/QEMU or similar platforms
- A strong understanding of networking concepts and experience troubleshooting a variety of network configurations
- Experience troubleshooting complex infrastructure issues and working through problems methodically
- Strong communication skills and the ability to explain technical concepts clearly
- Experience working directly with customers in a technical capacity
- Comfort working independently in a remote, fast-moving environment
- Practical experience using AI in your work, with examples of how it has helped you research, troubleshoot, automate, document, or work more effectively
Additional Experience That’s Valuable
- Experience in any of the following areas can be especially helpful:
- VMware, Nutanix, Hyper-V, or other virtualization platforms
- AWS, Google Cloud, Azure, or other cloud environments
- Scripting or automation using Python, Bash, Go, or similar languages
- REST APIs and systems integrations
- GitHub projects or code samples, particularly projects involving automation or AI-assisted workflows
A degree in Computer Science, Information Technology, or a related field can be helpful, but it isn't required. We value demonstrated technical experience and the ability to solve real-world problems.
Originally posted on Himalayas