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.
What You will Do:
- 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.
- 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.
- 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.
Who you are:
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.
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