首席软件工程师
Principal Software Engineer
在TTEC Digital，我们指导客户，确保他们的员工感到被重视并得到充分支持，因为卓越的客户体验首先是一个员工流程。我们的愿景相同，是一个员工可以茁壮成长的地方。
TTEC Digital正在寻找一位高级软件工程师加入我们的团队。该职位为全职且完全远程的工作机会！
工作内容：
我们是TTEC（纳斯达克：TTEC）内部的一个创新团队，正在打造下一代AI CX工具——自动化QA、对话分析、知识辅助和代理自动化，为全球最大的品牌以及他们服务的数百万客户打造。我们像早期初创公司一样运作，但拥有一个自1982年以来一直专注于客户体验的公司的规模、分发能力和企业客户基础。
这是少数真正能在大规模中发挥作用的职位之一。TTEC是一家处于AI转折点的上市公司。将正确的产品部署到数千个实时企业环境中，你不仅会提升一个指标，还会改变公司的轨迹和股票的价值。这种杠杆效应真实存在，工作成果会不断积累。
我们招聘的人才——DNA
- 自主驱动者和实干家，有毅力——以最好的方式理解黑客精神，具有创业心态和展示成果的倾向：注重可工作的软件，而非幻灯片；注重原型，而非提案。
- 渴望学习，热爱新技术。这个平台基于最新技术，而这些技术每月都在变化和进步。你能快速适应变化——新的工具、新的模型、新的优先事项——且不带任何情绪。
- 精通调试和问题解决。你喜欢解决复杂的问题，你会跳出常规思维，并能跨领域高效地处理多项任务而不丢失主线。
- AI原生。你在所有层面使用AI——你了解周围的科技（LLMs、SLMs、RAG、知识图谱、代理、训练、评估），并且每天使用AI工具来成倍提高你的效率。
- 懂分布式系统。高效、事件驱动、低延迟的系统是我们的世界；你明白这意味着什么。
- 有创新能力并能交付。你能轻松展示想法，快速失败并继续前进。你制定明确的时间表并按时完成。
- 你认为自己很优秀——并且喜欢获胜。我们也一样。
没有人会具备本描述中的所有条件。我们寻找的是全面、聪明且行动迅速的人。
#LI-JF1
#LI-Remote
你将负责：
职位职责：
- 作为该团队的高级软件工程师，你将
查看英文原文
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
TTEC Digital seeks a Principal Software Engineer to join our team. This role is a full-time and fully remote opportunity!
The work:
We’re an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools — automated QA, conversational analytics, knowledge assist, and agentic automation — for the world’s biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that’s been obsessed with customer experience since 1982.
This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don’t just move a metric — you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds.
Who we hire — the DNA
- Self-starters and do-ers with grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals.
- Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly — new tools, new models, new priorities — without drama.
- Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
- AI-native. You work with AI on all levels — you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity.
- Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
- Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
- You consider yourself exceptional — and you like winning. So do we.
No one will have everything in this description. We're looking for well-rounded, smart people who move fast.
#LI-JF1
#LI-Remote
What You will Do:
The role:
- As this group's Principal Software Engineer, you will be the "right-hand" of the engineering leader and part of the org's leadership team.
- You will be the organization's problem solver. Not an architecture title you hide behind — a coder who jumps into whichever squad is stuck, ships the hard thing, and moves on.
- You will jointly own the Platform Architect responsibilities for C1 Platform Foundation. This is a fast-moving train in a startup environment: the tech we build on changes monthly, the plan changes with it, and you thrive on that.
- Show-me mentality — your influence comes from the code you ship, demoed on Fridays like everyone else.
What you'll own:
- The hardest problems in any squad · platform architecture decisions (event bus, plugin lifecycle, multi-tenancy, RBAC, schema registry) jointly with the engineering leader
- Pattern-setting reference implementations
- Training up the engineers around you — you raise the whole team's level · unblocking, by writing code, not memos.
Who you are:
- A hacker in the best sense — self-starter, grit, thinks outside the box, loves solving complex problems, likes winning.
- You quickly envision code and designs in your head, then prove them by building. You use AI throughout your development workflow
- Code generation, refactoring, test scaffolding, debugging — as a genuine velocity multiplier, and you've embedded AI inside products, not just used it as a tool. Change doesn't rattle you; new technology energizes you.
What You Will Bring:
- 12+ years hands-on, genuinely polyglot — fluent in 7+ languages across your career. Senior-level Go is mandatory; Python and TypeScript expected in the mix; a native/systems language a strong plus.
- Breadth across multiple technologies and verticals — you've shipped in more than one industry and more than one architectural era, and adapted fast each time.
- Deep understanding of high-capacity distributed systems and their failure physics — state management, race conditions, locking, contention, ordering, back-pressure. You've debugged these in production, not just read about them.
- Multiple messaging systems (NATS / Kafka / Redpanda / RabbitMQ-class) and multiple database types and backgrounds — relational, KV, document, columnar, graph — and you know which fits and why.
- Two clouds minimum, one deep; GCP strongly preferred as the deep one.
- Strong AI knowledge — LLMs, SLMs, RAG, knowledge graphs, agents, training/fine-tuning, eval — and hands-on experience working AI into code: building AI-powered features and using AI-assisted development to move exponentially faster.
- Troubleshooting/debugging master — the strongest debugger in the building. Reads unfamiliar code, a stack trace, or a flame graph and sees it. Knows where the breakpoint goes without flailing.
- Problem-solves quickly and trains up others as a multiplier — pattern-matches instantly on distributed systems, real-time audio, browser internals, AI pipelines, high-throughput data models.
- Floats by choice. Does not want to own a squad. Wants to own the hard 10%.
- Sets patterns by shipping the reference implementation, not by writing the doc.