TTEC Digital seeks a Native / Desktop 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

What You Will Do:
The role:

Build Desktop Intercept — the native Windows driver and app that acts as a virtual mic/speaker, replaces audio in real time, and (Phase 1 Phase C) reads the DOM and drives Computer Use
This is the hardest engineering on the platform and the deepest moat. Everything you build feeds a high-efficiency, event-driven, low-latency distributed platform — voice, desktop, intelligence, and AI combined — so you think in latency budgets, throughput, and efficiency, not just features
Startup environment: 1-week sprints, Friday demos, fail fast and move forward.

What you'll own:

Windows native driver (WASAPI, virtual audio devices, kernel-adjacent hooks)
real-time bidirectional audio routing
The user-space app (audio router, DOM scraper, MCP server)
The desktop-to-cloud path onto the event bus (NATS-class, WebSocket) under a sub-300ms budget
AV co-existence and mass-deployment
Your committed timelines.

Who you are:

Self-starter, hacker, grit
You consider yourself exceptional at the systems level and can show it
You love new technology, adapt fast when it changes, demonstrate ideas with working code, and use AI tools daily to multiply your velocity
Team player who makes and hits committed timelines
Loves solving the problems nobody else can — and winning.

What You Will Bring:

8+ years systems / native development; shipped a Windows desktop agent at real scale (>10k seats) with audio.
Strong C/C++ — mandatory. Strong Go for the service side — mandatory.
Comfortable building and interacting with drivers — virtual audio devices, virtual microphones/speakers, WASAPI / Core Audio, kernel-adjacent hooks.
Real-time audio pipelines under a sub-300ms budget — buffering, resampling, drift, glitch-free capture/playback.
Understands high-efficiency systems end-to-end — event-driven architecture, pub/sub, WebSocket streaming, and what state, race conditions, and locking mean at the native layer (lock-free audio buffers, real-time threads, priority inversion).
macOS / Linux native experience is a huge +++++ — cross-platform desktop is where this goes next.
Browser / DOM internals and process injection a strong plus (Phase C).
Enterprise mass-deployment craft — MSI/installer engineering, silent deploys, fleet upgrades across 10k+ locked-down seats.
Driver/code signing and AV/EDR co-existence — WHQL, EV certs, and staying invisible to CrowdStrike-class agents without tripping them.
Crash-dump and telemetry discipline — WinDbg/minidumps, symbolized crash reporting from the field; you debug machines you'll never touch.
Security posture — least-privilege service design; this app hears customer audio and reads screens, so it must be provably tight.
A master debugger at the systems level — kernel logs, crash dumps, audio glitches, AV interference; you see it.
SIP / RTP a strong plus. Mid-tier or better hands-on AI-in-product experience a plus (the desktop app hosts an MCP server and drives Computer Use).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.