Software Engineer II

About

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. Join a team delivering enterprise-grade Salesforce solutions in a highly regulated, high-visibility environment where platform stability, secure design, traceability, and strong engineering discipline matter. This role supports critical business workflows and contributes to solutions that must balance speed, scale, governance, and long-term architectural integrity. The work includes scalable Salesforce development, integration patterns, and AI-enabled capabilities that require strong human-in-the-loop controls, clear trade-off analysis, and disciplined execution.

As a Software Engineer II with a strong Salesforce development profile, you will design, build, and support secure, scalable, and maintainable Salesforce solutions that operate in a critical enterprise environment. You will partner closely with product, architecture, risk, and delivery teams to develop solutions that are technically strong, operationally resilient, and aligned to governance expectations. This role is best suited for a hands-on engineer who combines deep Salesforce technical skills with strong judgment, ownership, and the ability to work through ambiguity in high-impact initiatives.

Responsibilities

• Design and build robust Salesforce solutions using Apex, Lightning Web Components, flows, integrations, and secure data access patterns for enterprise-scale use cases.
• Translate complex business requirements into clean technical designs, with strong attention to scalability, reusability, performance, and supportability.
• Work on solutions where reliability, auditability, and controlled data access are essential, including capabilities that interact with sensitive business workflows and governed data boundaries.
• Collaborate with architects, product partners, and cross-functional teams to document options, trade-offs, sequencing, and implementation approaches before development begins.
• Contribute to a future-ready engineering foundation so new use cases, models, and capabilities can be onboarded without re-engineering the entire solution.
• Support development through design, build, testing, deployment, and production stabilization, with a strong focus on quality engineering and operational readiness.
• Troubleshoot complex platform, integration, and data issues in partnership with delivery and support teams.
• Uphold strong engineering standards across code quality, documentation, DevOps discipline, risk controls, and secure SDLC practices.

AI Adoptability & Modern Engineering Expectations

We are looking for a candidate who can help the team adopt AI responsibly and practically within Salesforce engineering workflows. In this role, AI adoptability means using approved enterprise AI capabilities to improve developer productivity, design quality, summarization, classification, knowledge retrieval, and future workflow enablement-while respecting governance, access control, validation, and human review requirements.

• Evaluate where AI can accelerate engineering work without compromising quality, compliance, or architectural integrity.
• Design Salesforce solutions that are model agnostic where possible, so future AI capabilities can be introduced in a scalable and reusable way.
• Work effectively with enterprise-approved model options such as GPT-based models and embeddings available through TD AI Platform environments, including examples like gpt-5, gpt-5-mini, gpt-4.1, gpt-4.1-mini, text-embedding-3-large, and model-router, depending on use case, cost, latency, and reasoning needs.
• Apply sound judgment around model selection, prompt quality, validation, monitoring, and safe adoption in enterprise delivery contexts.

This role requires close engagement with cross-functional stakeholders and active participation in planning, refinement, design reviews, and delivery activities.

Qualifications

• Salesforce engineering depth: Strong hands-on development experience with Apex, Lightning Web Components, SOQL/SOSL, platform security, and integration patterns in enterprise Salesforce environments.
• Ability to break down complex requirements, document technical options and trade-offs, and design scalable, reusable solutions aligned with longer-term target state architecture. Experience delivering solutions in environments where testing, controlled rollout, auditability, traceability, and human oversight are important to production quality and governance. Internal risk materials highlight training, validation, controlled write behavior, monitoring, and restricted field access as important delivery expectations.
• Integration and data handling: Strong understanding of API-based integrations, data flows, error handling, and secure movement of business data across systems.
• Strong communication, stakeholder management, and execution skills, with the ability to work across product, architecture, risk, and delivery teams to move high-priority initiatives forward.
• Experience supporting AI-enabled Salesforce use cases , including summarization, classification, workflow assistance, retrieval, or model output operationalization with human-in-the-loop controls. The internal Copilot/Salesforce materials explicitly reinforce human review, limited write scope, traceability, and validation before publishing.
• Familiarity with enterprise AI platforms, model selection, embeddings, prompt design, and responsible AI adoption patterns using approved model ecosystems.
• Experience with DevOps, CI/CD, automated quality checks, release governance, and environment management in Salesforce delivery.
• Ability to mentor peers, raise engineering standards, and be a strong technical voice within delivery teams.

About You

• You help the team move faster without compromising governance, testing discipline, or architectural quality.
• You bring strong technical depth and practical judgment to both platform engineering and AI-enabled solution design.
• You raise the bar for solution quality, design clarity, and execution in a high-critical environment.

About TD

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

We do our best to communicate outcomes to all applicants by email or phone call.

Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

Language Requirement (Quebec only):