Senior QA / SDET Engineer

TTEC Digital seeks a Sr. QA/SDET 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:

• Automation-first quality engineering for a platform combining voice, desktop, intelligence, and AI.
• We emphasize AUTOMATION — we do not do manual QA here.
• Weekly code deploys are the heartbeat: when a QA branch is ready, regressions run fast, results report fast, and the train doesn't wait.
• Startup environment: 1-week sprints, fail fast, move forward.

What you'll own:

• Automation coverage for your squads' services
• Fast-turnaround regression suites gating weekly deploys
• Rapid detection and reporting
• Quality signal in minutes, not days
• Load/stress coverage for your services' latency budgets
• Your committed timelines.

Who you are:

• Self-starter with grit and a show-me mentality.
• You consider yourself exceptional, love new technology, adapt fast when the stack changes under you, and use AI tools daily to multiply velocity — including AI-assisted test generation.
• A team player who likes winning, and a partner to dev, not a gate: when something breaks, you help the dev team isolate it fast.

What You Will Bring:

• 5+ years SDET; writes real automation code (Go / Python), not manual scripts. Automation-first is a conviction, not a preference.
• Master issue-isolator and root-cause debugger — you narrow a failure to the service, the commit, the event; dev teams love your bug reports because they're half the debugging done.
• Fast regression discipline — parallelized suites, smart test selection, results in minutes; quality at weekly-deploy speed without becoming the bottleneck.
• Comfortable in high-load testing environments — load, stress, and soak testing of high-throughput, low-latency systems; you know how to find the knee of the curve.
• Experience testing event-driven systems, WebSocket flows, and browser extensions — ordering, race conditions, real-time state.
• CI-native mindset — tests wired into trunk-based CI/CD; flake management as a first-class discipline (a flaky suite is a broken suite).
• Contract/API testing between services; synthetic data and traffic generation (simulated calls, event streams, audio) for repeatable real-time testing.
• Testing AI outputs — eval-style assertions for non-deterministic LLM/ML features — a strong plus.