Software Engineer IIIApply: Full time: Posted Today: R _1519353Work

Location:
Toronto, Ontario, CanadaHours:37.5Line of Business:Technology SolutionsPay Details:$125,500
- $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. 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. As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define and govern architecture, and lead delivery execution for a specific solution area while influencing adjacent domains. You are hands-on and outcome-driven: designing and building critical path components, raising engineering standards, and scaling team effectiveness through mentorship, patterns, and automation. You also pioneer responsible AI-assisted engineering by establishing guardrails, validations, and governance that enable speed without compromising quality. This opportunity is with the Enterprise Data Management Office (EDMO), where you will deliver Data Catalog services as a product, driving enterprise-wide data discovery, governance, and self-service access to trusted data assets. ## An end-to-end technical solution is delivered predictably with strong SDLC discipline, from design to build, test, deploy and operate.
* trade-offs are explicitand risk-managed
* Cloud architecture and infrastructure decisions support scalable, resilient, secure and cost-effective platform growth across diverse deployment environments
* Engineering quality improves quarter-over-quarter through standards,



automation and coaching across security, performance and maintainability
* Production stability is strong, with high availability, clear SLOs / SLAs, quick incident recovery and actionable observability
* Teams ship faster with confidence due to reusable patterns, platform capabilities and AI-enabled workflows with robust guardrails. ## Customer
* Drive hands-on engineering and modernization: deliver critical components, resolve bottlenecks and implement target-state architecture with incremental, de-risked migration strategies.
* Ensure resilient, scalable and efficient platforms: define and validate NFRs, automate delivery, manage dependencies and continuously improve performance, availability and cost efficiency.
* Lead cloud architecture and engineering decisions across diverse cloud environments, selecting scalable infrastructure patterns, deployment models and integration approaches that align with enterprise standards. ## AI Workflow Innovation & Governance
* Champion AI-assisted development using modern copilots and LLM agents to accelerate delivery while maintaining enterprise-grade standards.
* Design and roll out AI guardrails, including approved use cases, prompt patterns, code provenance expectations and documentation standards.
* Implement validation pipelines for AI-generated code, including linting / formatting, unit and integration tests, SAST / DAST, dependency scanning,



secret detection and architectural rules.
* Define human-in-the-loop review requirements, including code review checklists, threat modelling and design reviews for high-risk changes.
* Establish a repeatable AI workflow for the team, including task decomposition, generation, verification, refactoring and documentation, and measure cycle-time impact.
* Promote responsible use across privacy, data handling, IP considerations, auditability and compliance with internal policies and external regulations. ## Ensure governance, compliance and risk alignment: adhere to enterprise frameworks, drive approvals and manage policies in line with business priorities and risk appetite.
* Drive quality and operational excellence: enforce shift-left quality, lead design and code reviews, and oversee release readiness and operational gating.
* Optimize performance and efficiency: lead enterprise-level analysis, drive remediation and continuous improvement, reduce costs through FinOps practices and integrate emerging trends and regulatory needs. ## Scale team impact through enablement: establish patterns, reference implementations, documentation and coaching over individual heroics.
* Mentor and elevate engineering excellence: provide hands-on technical guidance, unblock complex issues, lead knowledge sharing through RFCs, guilds and reviews, and drive continuous learning.
* Foster a high-performing, inclusive team: promote quality, innovation and collaboration; communicate risks proactively; Acts as a primary subject matter expert across multiple technical areas from design, support and solutions perspectives.
* Works independently and / or autonomously as a senior lead across a diverse range of complex tasks and o

📌 Software Development Engineer (Canada)
🏢 TD Bank Group
📍 Canada