About this Principal Software Engineer role at Ttecdigital
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
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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.
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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.
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Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
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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.
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Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
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Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
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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.
What You will Do:
Who you are:
What You Will Bring:
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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.
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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.
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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.
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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.
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Two clouds minimum, one deep; GCP strongly preferred as the deep one.
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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.
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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.
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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.
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Floats by choice. Does not want to own a squad. Wants to own the hard 10%.
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Sets patterns by shipping the reference implementation, not by writing the doc.
