Senior Software Developer in Test (AI Portfolio)

Department: Product Development

Employment Type: Full Time

Location: Canada, Canada, Canada - Remote (0002), Remote

How Youll Make an Impact

• Analyze functional and technical requirements to define comprehensive test strategies and automation needs
• Design, write, maintain, and manage automated UI and API test suites
• Contribute to building and enhancing scalable automation frameworks (e.g., Playwright, Rest-Assured)
•  Identify, plan, and execute exploratory, functional, integration, performance, and regression tests
• Collaborate with development and product teams to validate testing requirements and optimize test coverage
• Champion best practices for automation, test data management, CI/CD integration, and code quality
• Monitor, troubleshoot, and optimize automation pipelines and test frameworks for dependability, scalability, and stability
• Perform root cause analysis and support teams in identifying and preventing defects

Wed Love to See

• 5+ years’ experience in QA/QE and test automation development roles, within a fast-paced Agile environment
• AI Testing Expertise: Proven track record testing AI/ML products (including prompt evaluation, bias detection, or model boundary testing) 
• Hands-on experience integrating AI tools or LLM APIs into CI/CD pipelines to accelerate test execution and automatically detect flaky tests.
• Strong understanding of software testing methodologies, automation design patterns, and the fundamentals of high-quality test case development
• 3+ years of hands-on experience with at least one automation framework for both UI and API test automation (Playwright, Cypress, Selenium, RestAssured, RestSharp, Pytest, etc.)
• Hands-on experience with version control, issue tracking, and test case management tools (GitHub, Gitlab, JIRA, Xray, Zephyr, Qase, etc.)
• Proficiency with relational databases and data validation (SQL, MS SQL, Oracle, GraphQL, or DB2)
• Proficiency in one or more programming languages (Java, JavaScript, Typescript, C#, or Python)
• Ability to think critically about system architecture and assess the impact of product changes across components
• Strong troubleshooting, analytical, and problem-solving skills
• Exceptional written and verbal communication skills, with the ability to articulate both technical and non-technical concepts
• Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies