Senior QA / SDET Engineer

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.

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.