Location: Vancouver, Canada
Date published: 18-Apr-2025
Job ID: 143192
Location: Vancouver, Canada
Date published: 18-Apr-2025
Job ID: 143192
We are seeking a Senior QA Engineer with a strong background in automation, agile practices, and emerging AI technologies to join our innovative and fast-paced technology team. This is a unique opportunity for a quality-focused individual who thrives in cloud and DevOps environments and is passionate about the future of intelligent software testing.
Key Responsibilities:
Lead and execute comprehensive testing strategies across software development life cycles, with a focus on automation and continuous delivery.
Design and implement automated test scripts and frameworks to ensure product quality, reliability, and performance.
Collaborate closely with developers, product owners, and DevOps teams in Agile/Scrum environments to align testing with ongoing development efforts.
Contribute to the testing and validation of AI-powered applications, including Large Language Models (LLMs), generative AI, machine learning models, and RAG (Retrieval Augmented Generation) architectures.
Ensure test coverage across platforms and services using a combination of tools and frameworks.
Technical Experience:
7+ years of software testing experience, with at least:
5+ years in test automation using tools such as Katalon Studio, Selenium, and Java.
3+ years working in agile, cloud, and DevOps environments.
1+ years hands-on experience with emerging technologies including LLMs, generative AI, NLP, Azure AI, ML, and deep learning frameworks.
Strong proficiency in test tools such as Ready API, SoapUI, and LoadRunner.
Experience working with databases and backend validation using DB2 and SQL Server.
Familiarity with Azure DevOps for CI/CD pipelines, test case management, and release coordination.
Awareness or training in Scaled Agile Framework (SAFe) is a plus.
What You Bring:
Deep understanding of QA methodologies, test lifecycle, and automation best practices.
Passion for innovation and staying ahead of the curve with AI-driven testing technologies.
Strong analytical, communication, and problem-solving skills.
A collaborative mindset with the ability to work across global teams and multiple projects.