Verified Job
IT / Software / Data Analyst
QA Test Engineering Intern
IT / Software / Data Analyst
#817582
Remote / WFH
Momentum Financial Services Group
Job Description
About the Role
We are looking for a motivated and detail-oriented QA Test Engineering Intern to join our Quality Engineering team. This internship offers an excellent opportunity to gain hands-on experience in software testing, automation, Agile development, and modern AI-assisted engineering practices while working on enterprise applications in the Financial Services domain.
The intern will work closely with experienced Test Leads and development teams, supporting manual and automated testing activities, learning industry best practices, and contributing to high-quality software delivery.
Key Responsibilities
Assist in preparing and executing manual test cases based on business and functional requirements.
Perform functional, regression, integration, and smoke testing. Report, track, and verify software defects using defect management tools.
Support automation testing initiatives using Java, JavaScript, and BDD frameworks (training will be provided where needed).
Contribute to test data preparation and test environment validation.
Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.
Work closely with developers, business analysts, and QA engineers to understand application functionality and quality expectations.
Learn and apply quality engineering best practices, including test planning, defect management, and test documentation.
Gain exposure to CI/CD pipelines, GitHub, and modern software development workflows.
Utilize AI-assisted engineering tools such as GitHub Copilot and Claude to improve productivity, automate repetitive tasks, and enhance test development.
Required Qualifications
Pursuing or recently completed a bachelor's degree in computer science, Information Technology, Electronics, or a related field.
Strong understanding of Software Testing fundamentals and SDLC/STLC concepts.
Basic knowledge of Java or JavaScript programming.
Familiarity with SQL and relational databases.
Understanding of Agile/Scrum methodologies.
Good analytical, problem-solving, and communication skills.
Eagerness to learn automation testing and quality engineering practices.
Preferred Skills
Exposure to Selenium, Playwright, Cypress, or similar automation tools.
Basic understanding of BDD frameworks such as Cucumber.
Familiarity with Git/GitHub.
Knowledge of REST API testing using Postman or similar tools.
Basic understanding of CI/CD concepts. Awareness of AI-assisted coding tools such as GitHub Copilot or Claude.
What You'll Learn
During the internship, you'll gain practical experience in:
Enterprise software testing
Test automation frameworks
Manual and automation testing techniques
API testing Agile software delivery
Financial Services applications
AI-assisted software engineering CI/CD and DevOps practices
Industry-standard quality engineering processes
What We Offer
Hands-on experience on enterprise-scale projects.
Mentorship from experienced QA Leads and Quality Engineers.
Exposure to modern testing tools and automation frameworks.
Opportunity to work in the Financial Services domain.
Collaborative and learning-focused environment.
Potential opportunity for full-time employment based on performance.
Nice to Have
Personal automation projects or GitHub portfolio.
Participation in hackathons or coding competitions.
Relevant certifications in Software Testing or Automation.
About MFSG – Our Commitment To Responsible Innovation
At MFSG, we are committed to building innovative solutions grounded in ethical, transparent, and responsible use of data and technology. Aligned with the principles outlined in Canada's Artificial Intelligence and Data Act (AIDA), we take a proactive approach to ensuring that any AI or data-driven systems we use are safe, fair, and accountable.
This posting is for a current position within our organization, offering the opportunity to contribute to meaningful, responsible innovation that supports our employees, clients, and communities.
We prioritize strong data governance, clear communication around how systems work, and safeguards that reduce risks and protect individuals. Our focus is on developing tools and processes that promote equity, reliability, and trust, supported by ongoing monitoring and continuous improvement.
Joining MFSG means contributing to a future-focused organization that values both innovation and integrity, where your work helps shape solutions that responsibly support our employees, clients, and communities.
We are looking for a motivated and detail-oriented QA Test Engineering Intern to join our Quality Engineering team. This internship offers an excellent opportunity to gain hands-on experience in software testing, automation, Agile development, and modern AI-assisted engineering practices while working on enterprise applications in the Financial Services domain.
The intern will work closely with experienced Test Leads and development teams, supporting manual and automated testing activities, learning industry best practices, and contributing to high-quality software delivery.
Key Responsibilities
Assist in preparing and executing manual test cases based on business and functional requirements.
Perform functional, regression, integration, and smoke testing. Report, track, and verify software defects using defect management tools.
Support automation testing initiatives using Java, JavaScript, and BDD frameworks (training will be provided where needed).
Contribute to test data preparation and test environment validation.
Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.
Work closely with developers, business analysts, and QA engineers to understand application functionality and quality expectations.
Learn and apply quality engineering best practices, including test planning, defect management, and test documentation.
Gain exposure to CI/CD pipelines, GitHub, and modern software development workflows.
Utilize AI-assisted engineering tools such as GitHub Copilot and Claude to improve productivity, automate repetitive tasks, and enhance test development.
Required Qualifications
Pursuing or recently completed a bachelor's degree in computer science, Information Technology, Electronics, or a related field.
Strong understanding of Software Testing fundamentals and SDLC/STLC concepts.
Basic knowledge of Java or JavaScript programming.
Familiarity with SQL and relational databases.
Understanding of Agile/Scrum methodologies.
Good analytical, problem-solving, and communication skills.
Eagerness to learn automation testing and quality engineering practices.
Preferred Skills
Exposure to Selenium, Playwright, Cypress, or similar automation tools.
Basic understanding of BDD frameworks such as Cucumber.
Familiarity with Git/GitHub.
Knowledge of REST API testing using Postman or similar tools.
Basic understanding of CI/CD concepts. Awareness of AI-assisted coding tools such as GitHub Copilot or Claude.
What You'll Learn
During the internship, you'll gain practical experience in:
Enterprise software testing
Test automation frameworks
Manual and automation testing techniques
API testing Agile software delivery
Financial Services applications
AI-assisted software engineering CI/CD and DevOps practices
Industry-standard quality engineering processes
What We Offer
Hands-on experience on enterprise-scale projects.
Mentorship from experienced QA Leads and Quality Engineers.
Exposure to modern testing tools and automation frameworks.
Opportunity to work in the Financial Services domain.
Collaborative and learning-focused environment.
Potential opportunity for full-time employment based on performance.
Nice to Have
Personal automation projects or GitHub portfolio.
Participation in hackathons or coding competitions.
Relevant certifications in Software Testing or Automation.
About MFSG – Our Commitment To Responsible Innovation
At MFSG, we are committed to building innovative solutions grounded in ethical, transparent, and responsible use of data and technology. Aligned with the principles outlined in Canada's Artificial Intelligence and Data Act (AIDA), we take a proactive approach to ensuring that any AI or data-driven systems we use are safe, fair, and accountable.
This posting is for a current position within our organization, offering the opportunity to contribute to meaningful, responsible innovation that supports our employees, clients, and communities.
We prioritize strong data governance, clear communication around how systems work, and safeguards that reduce risks and protect individuals. Our focus is on developing tools and processes that promote equity, reliability, and trust, supported by ongoing monitoring and continuous improvement.
Joining MFSG means contributing to a future-focused organization that values both innovation and integrity, where your work helps shape solutions that responsibly support our employees, clients, and communities.
