Quality Engineer, AI Platform

Department Overview

Building a World-Class Technology Team at TD.

We can't afford to be boring. Neither can you. 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.

TD Testing and Quality Engineer (QE) 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.

Customer Responsibilities

• Hands-on role focused on test automation activities with high level of complexity.
• As a Test Lead for small complexity initiatives, accountable for implementing effective test strategies and plans, test design / development test case automation and test execution to achieve business outcomes.
• Provides QE leadership, direction and feedback throughout the development and design process; provides test development / automation support to ensure that the quality of the intended solution is met.
• Leverage strong knowledge to understand technical solutions to build optimized test approaches, inclusive of the tooling strategy.
• Strong knowledge of test data management to reuse automated test data provisioning capabilities.
• Effectively engineer and leverage tools and Engineering practices (DevOps tools and processes, source code management, Service Virtualization, monitoring tools, etc.).
• Implement functional and/or non-functional automation frameworks (performance, readiness / reliability testing (ORT), accessibility, security) including script development and execution, and ensure automated tests are integrated into the Continuous Integration (CI), delivery, and testing (CI/CD/CT) pipelines.
• Play a key role in developing, documenting, and proactively identifying end-to-end test solution designs and early automation opportunities.
• Work collaboratively with the development team to define and validate user stories, acceptance criteria and Definition of Done (DoD) / Ready (DoR).
• Apply the principles of behavior / Test Driven Development (BDD / TDD) and focus on value driven outcomes.
• Leads Proof of Concepts (POCs) to evaluate new technologies geared towards better, faster, more secure testing activities (such as Service Virtualization, DevOps, BDD, Test Data Management).

Shareholder Responsibilities

• Adhere to enterprise frameworks or methodologies that relate to quality engineering activities.
• Ensure respective programs/ policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Collaboratively engage with relevant stakeholders at all levels, both internal and external, to shift from finding defects to proactively preventing defects.
• Actively seek and support continuous improvement and automation opportunities within the quality engineering practice.
• Conduct meaningful analysis at the functional or enterprise level using data to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
• Identify opportunities to minimize cost, provide recommendations and/or deliver corresponding strategic solutions to support cost effectiveness and to enhance stakeholder experience.
• Conduct test assets reviews to ensure adherence to quality, standards compliance, reusability, and ease of maintenance.
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Protect the interests of the organization – identify and manage risks, and escalate nonstandard, high-risk activities as necessary.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

Employee/Team Responsibilities

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest.
• Provide thought leadership and/ or industry knowledge for quality engineering best practices and participate in knowledge transfer within the team and business unit.
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
• Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices. Supports the team by providing guidance and proactively identifying and resolving issues.
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Breadth & Depth

• Advanced knowledge of specific domain and quality engineering frameworks, technology, tools, processes, and procedures.
• Advanced knowledge of coding practices, testing, and debugging to develop and maintain resilient automated test scripts; hands-on experience writing automated scripts using industry standard frameworks.
• Strong debugging and problem-solving skills; investigates and analyzes potential solutions to problems.
• Perform complex testing automation autonomously.
• Deep knowledge of in scope TD business and systems, practices, business / organization, Bank standards.
• Strong knowledge in new / advanced techniques and approaches in testing and automation (e.g., BDD, Machine Learning, etc.).
• Lead 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 leading 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.
• Future focused - foresee issues and gaps and identifies industry trends.
• Collaborative team player and ability to play a leadership role in the team.
• Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
• Report to a Practice lead.

Experience And/or Education

• BS degree in Computer Science or related Engineering discipline; or equivalent practical experience.
• 3-5 years of relevant experience.
• Strong Python/Java programming knowledge and working experience – Ability to write code/modules for complex scenarios, integration points and supporting multiple technologies.
• In sprint automation for Python/Java.
• Excellent communication and analytical skills.
• Good familiarity with Large Language Models (LLMs).
• Solid understanding of SQL for data validation and integration.
• Experienced in behavior driven development model (BDD).
• Knowledge and working experience with Azure Cloud architecture and services.
• Knowledge and working experience on Automation frameworks.
• Working experience with CI/CD pipeline using Jenkins.
• Strong Test Leadership and Management Skills – Create program level strategies, test metrics and reporting, ability to drive sprint scope, retrospection and influence changes to align to best practices.
• Actively participate in daily meetings with development and business stakeholders, code reviews, building automation framework, and performing automation demos.
• Strong agile background – Sprint ceremonies, scrum methodology, planning and retrospections.
• Good to have: working experience with Ansible, working experience with Linux/UNIX, previous Banking experience or TD experience.

Key skills/competency for Quality Engineer, AI Platform

• Test Automation
• AI Platform
• Python/Java
• CI/CD
• BDD/TDD
• Azure Cloud
• SQL
• Large Language Models (LLMs)
• DevOps
• Quality Engineering