Associate Automation Quality Engineer – AI Platform

Overview

Description Du Poste Building a World-Class Technology Team at TD.

Description The Associate Automation Quality Engineer – AI Platform at TD covers a specialized area dedicated to high-quality application and solution delivery. Similar to industry trends, TD's definition of this area of discipline (as well as skill and knowledge requirements) has changed over time. One thing hasn't changed – experts in this area remain highly-marketable across businesses. Some of our testing activities may focus on system integration, business acceptance, performance, operability and deployment verification.

Quality Assurance activities, in contrast, give stakeholders information about product or service quality while allowing the business to appreciate and understand any implementation risks. Many Testing & QA Experts could be involved in end-to-end delivery of testing, or more focused on a specific discipline. There's room to grow in all of this.

Location Toronto, Ontario, Canada

Schedule 37.5 hours

Industry Solutions technologiques

Compensation Details $59,500 - $84,000 CAD. This position is eligible for a discretionary variable pay that takes into account company and individual performance. The TD remuneration approach aims to be fair and equitable, with growth opportunities and skill development available over time. Base salary may vary based on candidate experience, knowledge, location, and business needs. Candidates are encouraged to discuss compensation with the recruiter for specifics.

Description Du Poste Building a World-Class Technology Team  can t afford to be boring. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD s technology and business teams become more intertwined as new opportunities present themselves.

This new era in banking does not equal boring. Not at TD, anyway.

The Associate Automation Quality Engineer – AI Platform at TD covers a specialized area dedicated to high-quality application and solution delivery. Similar to industry trends, TD s definition of this area of discipline (as well as skill and knowledge requirements) has changed over time. One thing hasn t changed – experts in this area remain highly-marketable across businesses.

Some of our testing activities may focus on system integration, business acceptance, performance, operability and deployment verification. Quality Assurance activities, in contrast, give stakeholders information about product or service quality while allowing the business to appreciate and understand any implementation risks. Many Testing & QA Experts could be involved in end-to-end delivery of testing, or more focused on a specific discipline.

There s room to grow in all of this.

• Contribute to Test Automation activities between and within pods.
• Analyze, develop, debug, execute and maintain complex automated test cases.
• Be responsible for all project/ release testing (e.g. integration, business acceptance, performance, operability, deployment verification).
• Apply risk analysis methodologies, tools that align with a project s development approach.
• Prioritize testing tasks, ensure milestones, activities, tasks are completed as scheduled.
• Create and execute test case creation and execution to ensure team meets timelines.
• Ensure testing does not impact the production environment (e.g., file transmission scheduling), meets information security/privacy policies/guidelines.
• Follow established testing processes, in doing so, identify, assess, address, resolve and/or escalate, develop contingency plans as needed.
• Participate in audit reviews of test artifacts, ensure they meet standards and audit requirements, and are stored in the project site.
• Participate in gate reviews, testing activities and artifacts, ensure they adhere to gating criteria.
• Capable of owning QE activities within sprint and SIT phase – work closely with all team to plan, execute, report, and drive continuous improvement.
• Implement QE Best practices at every opportunity and ensure accurate status tracking/ reporting to QE manager.