Quality Engineer II

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Details – What you'll do:   * You will Own end-to-end (E2E) quality and delivery for large, complex systems — defining the E2E test artifacts, automation, governance, environments, and quality gates that ensure release readiness.   * Lead automation-first validation of critical business functionalities across API, UI, data, and integration layers, and provide clear, consistent quality signals to senior stakeholders.   * Define and own the E2E QE strategy for all Malcodes owned by your pod: scope, test architecture (test pyramid and E2E layers), quality gates, environments, test data, and entry/exit criteria for releases.    * Drive E2E automation across critical user applications and integrations (API/UI/data/message flows), ensuring scalable coverage, maintainability, and low-flake execution suitable for CI/CD.   * Coordinate cross-functional and cross-team delivery: align pods, platform teams, vendors, and external dependency teams on E2E schedules, readiness, and environment stability.   * Partner with Product Owners, Engineering Leads, Architects, and Operations to translate business priorities, NFRs, and architectural changes into risk-based E2E test plans and measurable outcomes.   * Establish governance and reporting for E2E quality: dashboards for coverage, pass rates, flakiness, defect leakage, and release readiness; communicate status and risks to QE leadership.    * Lead integrated defect triage and root-cause analysis across systems using logs, traces, and telemetry, drive remediation and regression prevention through automated checks and improved observability.   * Own E2E test execution planning and delivery for major releases: coordinate dry runs, manage change windows, orchestrate parallel execution, and ensure timely go/no-go recommendations.   * Improve QE processes at scale: standardize frameworks and patterns, introduce service virtualization/mocking where needed, and optimize cycle time through CI/CD integration and environment strategy.   * Act as the primary QE point of contact for stakeholders to facilitate decision-making, resolve blockers, manage expectations, and ensure transparent communication.   * Implement AI solutions to QE Workflow in SDLC.   Job Requirements – What you'll need to succeed:   * Own automation QE delivery for a pod: define automation scope, API/UI coverage, and entry/exit criteria; drive execution to meet sprint and release commitments.   * Partner with Product Owners, Engineers, and stakeholders to translate user stories, NFRs, and architecture into risk-based test strategy and clear, trackable deliverables.   * Partner with the QE from multiple teams during end-to-end integration testing: contribute pod-level test scenarios, execute validation (automation and targeted manual), and support integrated release readiness across dependent systems.   * Leverage architecture diagrams, data flows, and logical data models to build efficient automated test design (API/contract tests, component tests, and UI automation) with maintainable abstractions.   * Build and extend reusable automation frameworks, libraries,