QA Lead / SDET Lead

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and implement a quality strategy on a weekly basis as the scope increases.

• Oversee the cross-service contract suite to manage production effectively.

• Plan for future QA hiring in phase 2.

• Establish automation patterns through deployment; enhance the skills of the QA engineers around you.

• Ensure automation coverage for the services within your squads.

• Create fast-turnaround regression suites to facilitate weekly deployments.

• Enable rapid detection and reporting of issues.

• Provide quality signals in minutes rather than days.

• Conduct load and stress testing to meet the latency budgets of your services.

• Adhere to your committed timelines.

⛳️ Requirements

• 8+ years of experience in QA/SDET; you have built a test-automation framework from the ground up for a fast-paced product — you will develop ours before scaled module QA is established.

• Proficient in isolating issues and debugging root causes — you can pinpoint a failure to the service, the commit, or the event; development teams appreciate your bug reports as they facilitate the debugging process.

• Expertise in fast regression practices — utilizing parallelized suites and intelligent test selection to achieve results in minutes; ensure quality at the speed of weekly deployments without becoming a bottleneck.

• Experience in high-load testing environments — perform load, stress, and soak tests on high-throughput, low-latency systems; adept at identifying the knee of the curve.

• Familiarity with testing event-driven systems, WebSocket flows, and browser extensions — including ordering, race conditions, and real-time state management.

• CI-native mindset — integrate tests into trunk-based CI/CD; prioritize flake management as a fundamental practice (a flaky suite is equivalent to a broken suite).

• Conduct contract/API testing between services; generate synthetic data and traffic (simulated calls, event streams, audio) for repeatable real-time testing.

• Experience in testing AI outputs — utilizing evaluation-style assertions for non-deterministic LLM/ML features is a significant advantage.

🏝️ Benefits

• We focus on AUTOMATION — manual QA is not part of our process.

• Weekly code deployments are essential: when a QA branch is ready, regressions are executed quickly, results are reported promptly, and the process keeps moving.

• Enjoy a startup atmosphere: 1-week sprints, embrace failure quickly, and advance continuously.