Senior Software Development Engineer in Test (SDET)

Accountabilities:: You will lead the evolution of test automation and quality engineering practices, combining hands-on technical expertise with strategic influence across multiple engineering teams. Your responsibilities will include: Lead the development and continuous improvement of scalable, maintainable test automation frameworks covering web, API, integration, and component-level testing. Design and implement advanced automated testing suites across frontend, backend, services, and integrations using tools such as Playwright, Cypress, Selenium, or similar technologies. Optimize CI/CD pipelines to improve build efficiency, reliability, test execution speed, and parallelization. Establish testing strategies, quality standards, and technical guardrails for major product features, system redesigns, architectural initiatives, and cross-functional projects. Mentor and coach engineers and SDETs, promoting best practices in test design, automation architecture, and quality engineering. Collaborate with Product Managers, Developers, QA specialists, and Operations teams to clarify requirements, improve testability, and align on quality expectations. Evaluate and introduce new testing tools, frameworks, and technologies through proof-of-concept initiatives and experimentation. Contribute to the long-term QA automation roadmap and influence the organization's overall testing strategy. Champion observability and monitoring practices using tools such as Grafana, Prometheus, New Relic, or similar platforms. Lead root cause analysis for complex technical issues and ensure preventive automation is implemented to reduce recurring problems. Maintain and promote consistent quality assurance policies, procedures, and engineering standards across teams. Identify opportunities to leverage AI-powered testing tools and emerging technologies to improve automation efficiency and software quality. Requirements : You are an experienced quality engineering professional with a strong background in software testing, automation architecture, and technical leadership. You combine deep technical expertise with the ability to influence engineering practices, mentor others, and drive quality improvements across distributed teams. The ideal candidate will demonstrate: At least 5 years of professional experience in software testing and test automation, including building automation frameworks and guiding engineering teams. Strong expertise in end-to-end testing, integration testing, API testing, and service-level automation using tools such as Playwright, Cypress, Selenium, or Protractor. Proven experience designing automated test frameworks for Ruby on Rails and React applications. Solid understanding of modern software engineering principles, testing methodologies, automation patterns, and framework architecture. Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or Semaphore, including optimizing pipelines at scale. Strong knowledge of quality engineering practices, including test strategy development, testability analysis, test design patterns, and risk-based testing. Experience with monitoring, observability, and log aggregation platforms such as Grafana, Prometheus, New Relic, or Airbrake. Familiarity with performance and load testing tools such as JMeter, k6, or Gatling. Experience working with distributed systems, microservices, and cloud-based architectures. Demonstrated technical leadership and mentoring capabilities, including coaching, knowledge sharing, and collaborative problem-solving. Strong analytical and creative problem-solving skills, with the ability to navigate ambiguity and adapt to rapidly evolving environments. Excellent communication and stakeholder management skills, with the ability to influence cross-team decisions and build alignment. A proactive learning mindset and enthusiasm for experimenting with new technologies and improving engineering practices. Additional experience that would be considered an asset: Experience testing AI-powered features, including LLM-based applications, AI agents, retrieval-augmented generation (RAG) systems, and agentic workflows. Familiarity with AI evaluation frameworks and methodologies, including online and offline evaluations or tools such as DSPy and Langfuse. Experience establishing testing standards, quality governance, and best practices across multiple engineering teams. Previous ownership or contribution to an organization-wide test automation roadmap. Familiarity with AI-driven testing tools and autonomous test generation. Experience working with education technology platforms or Learning Management Systems (LMS). Experience building test environments, synthetic data systems, or contract testing frameworks. Benefits : Competitive compensation: Annual base salary range of CAD $87,600–$131,400, with a midpoint of $109,500. Individual offers depend on relevant skills, knowledge, experience, and internal equity considerations. Additional compensation: Equity opportunities, team-wide bonuses, and an Employee Share Purchase Plan. Flexible paid time off: Generous PTO, with employees encouraged to take at least four weeks of vacation annually. Additional holidays: Extended summer long weekends through dedicated team holidays, as well as time off during the December holiday season. Comprehensive healthcare: Health, vision, and dental coverage for employees and their families, starting on the first day. Mental health support: CAD $3,000 in mental healthcare coverage, alongside additional wellness resources. Personal wellness allowance: CAD $900 annually through a health or personal spending account. Family-friendly benefits: Generous parental leave top-ups for up to 32 weeks, fertility coverage, and personalized return-to-work arrangements. Community involvement: Three paid volunteer days annually to support charitable initiatives and causes. Flexible remote work: Work from anywhere in Canada, the Vancouver headquarters, a coworking space, or another suitable location. AI-powered tools: Access to AI tools designed to improve productivity, accelerate workflows, and support innovation. Learning and development: Annual CAD $2,000 Learn and Grow budget for courses, conferences, and seminars, alongside training, mentorship, coaching, and internal career opportunities. Home office equipment: Company-provided MacBook Pro and a budget for a desk, chair, and other home office accessories. Collaborative and inclusive culture: Join a supportive, high-performing team that values diverse perspectives, professional growth, ownership, and continuous learning.