Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.

What you'll do in the role:
• Develop and execute a comprehensive test automation framework, selecting appropriate tools and technologies to automate functional, regression, performance, and API testing across various environments.
• Integrate automated tests seamlessly into CI/CD pipelines, enabling continuous feedback on code quality and early defect detection.
• Design, write, and maintain automated test cases based on requirements, user stories, and acceptance criteria.
• Mentor a team of software engineers, fostering a culture of quality and continuous improvement in testing practices.
• Work closely with developers to identify testable requirements, review code, and facilitate defect resolution.
• Monitor test execution results, analyze trends, and identify areas for optimization in testing processes.
• Evaluate and implement new testing tools and technologies to enhance automation capabilities.
• Provide clear and concise reports on test execution status, defect metrics, and quality insights to stakeholders.

What you'll bring to the role:
• At least 6 years of experience in testing methodologies and knowledge of modern QA tools (Cucumber, Selenium, JMeter, Protractor, BDD Methodology) to test WebServices, SQL, Stored Procs and UI (User Interface).
• Experience in J2EE technologies like Spring Core, Spring AOP, Spring JDBC, JSP.
• Experience in Service Oriented Architecture (SOA) for Web Services using SOAP, REST.
• Knowledge of scripting languages (Python) and basic knowledge of UNIX.
• Understanding of CI/CD tools like Jenkins, GitLab CI, or Azure DevOps and ability to integrate automated tests within pipelines.
• Understanding of SQL queries and Stored Procedures for DB2 databases.
• Experience with Agile development methodologies.
• Bachelor's degree in Computer Science or related field.

What you can expect from Morgan Stanley:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, data analytics, cloud engineering, cybersecurity and digital technologies. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area's highly skilled technology talent. There's ample opportunity to move across the businesses for those who show passion and grit in their work.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.