CGI is seeking an experienced Quality Engineering Lead to join our team. The successful candidate will lead quality engineering initiatives across the Software Development Lifecycle (SDLC), driving test strategy, automation, and quality assurance activities to ensure the delivery of high-quality software solutions. Working closely with cross-functional teams and stakeholders across multiple time zones, the Quality Engineering Lead will play a key role in delivering reliable, scalable, and business-critical applications. This is a permanent, full-time opportunity based in Bedford, Nova Scotia, operating under a hybrid work model requiring four days per week onsite at the client office.
Your future duties and responsibilities
- Lead end-to-end Quality Engineering activities throughout the Software Development Lifecycle (SDLC).
- Design, develop, execute, and maintain test strategies, test cases, and test documentation.
- Perform ETL and database validation using Snowflake and SQL.
- Execute UI functional, regression, and integration testing.
- Develop and maintain automation scripts using Python.
- Support CI/CD pipelines using tools such as Jenkins, Airflow, or similar technologies.
- Leverage AI-assisted development tools such as GitHub Copilot or Cortex AI to improve testing efficiency.
- Collaborate with developers, business analysts, and stakeholders across multiple time zones.
- Provide technical guidance and leadership to QA team members while promoting testing best practices.
- Track defects, communicate project status, and contribute to continuous process improvement initiatives.
Required qualifications to be successful in this role
- 7-8+ years of Quality Engineering or Software Testing experience.
- Previous experience leading Quality Engineering or QA teams.
- Strong experience with ETL testing.
- Strong experience with UI testing.
- Strong database testing experience using Snowflake and SQL.
- Experience creating and maintaining automation scripts using Python.
- Experience working with CI/CD tools such as Jenkins, Airflow, or similar platforms.
- Good understanding of the complete Quality Engineering SDLC, including requirements analysis, test planning, test case creation, execution, defect management, and documentation.
- Experience using AI-powered development tools such as GitHub Copilot, Cortex AI, or similar solutions.
- Excellent communication, stakeholder management, and presentation skills.
- Strong organizational and time management skills.
- Ability to work effectively with globally distributed teams.
Assets
- Experience within Financial Services.
- Experience supporting Regulatory Reporting initiatives.
- Experience using qTest or similar test management and defect tracking tools.
- Experience working in Unix/Linux environments.
CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $70,000-$110,000. This role is an existing vacancy.
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Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
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At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
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