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Jobs(31,365)/SDET Role(59)/TTEC Digital (30) - QA Lead /SDET Lead
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TTEC Digital

TTEC Digital - QA Lead /SDET Lead

Remote - Toronto, Ontario2d ago
RemoteStaffNAArtificial IntelligenceNonprofitSDETTech LeadReportingWebSocket

Requirements

• Keeps the respect of senior engineers through technical credibility; comfortable telling a tech lead their branch isn't ready — and delivering that fast, with data. • Show-me mentality on committed timelines: quality visible in every Friday demo, never the bottleneck. • Chaos/failure-injection mindset — kill a service, drop the bus, flap the network; prove the platform degrades gracefully. • 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.

Responsibilities

• 8+ years QA/SDET; you have built a test-automation foundation from scratch for a fast-shipping product — you'll build ours before scaled module QA exists. • 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.

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