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Software Engineer II- Salesforce

🗓️ Posted 2026-08-12 Toronto, Ontario, Canada Full-time On-site ICT

Company shared salary

6,800 CAD–9,600 CAD/mo (81,600 CAD–115,200 CAD/yr)

Market rate

8,000 CAD–14,000 CAD/mo (96,000 CAD–168,000 CAD/yr)

Based on similar roles (title + domain + location).

About the Company

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package 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. Learn more Additional Information: 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

Responsibilities

  • ● 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.
  • ● 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.
  • ● Strong candidates should be able to:
  • ● 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.
  • ● Understand when open-source or specialized models may be better suited for specific scenarios in approved dev/POC contexts, including examples such as Meta-Llama-3.1-70B-Instruct, Qwen2.5-14B-Instruct, granite-8b-code-base-4k, and approved embedding or safety models.
  • ● Apply sound judgment around model selection, prompt quality, validation, monitoring, and safe adoption in enterprise delivery contexts.
  • ● Where You'll Work
  • ● Regular collaboration across engineering, product, architecture, and delivery partners. This role requires close engagement with cross-functional stakeholders and active participation in planning, refinement, design reviews, and delivery activities.

Requirements

  • ● Salesforce engineering depth: Strong hands-on development experience with Apex, Lightning Web Components, SOQL/SOSL, platform security, and integration patterns in enterprise Salesforce environments.
  • ● Architecture and design judgment: Ability to break down complex requirements, document technical options and trade-offs, and design scalable, reusable solutions aligned with longer-term target state architecture. This reflects recent team discussions emphasizing blueprinting, sequencing, and trade-off documentation before execution.
  • ● Engineering rigor in critical environments: 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.
  • ● Ownership and collaboration: 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.
  • ● Undergraduate degree, Postgraduate degree or Technical Certificate
  • ● Strong academic background (e.g., computer science, engineering)
  • ● years relevant experience
  • ● Preferred experience
  • ● Familiarity with enterprise AI platforms, model selection, embeddings, prompt design, and responsible AI adoption patterns using approved model ecosystems.
  • ● Ability to mentor peers, raise engineering standards, and be a strong technical voice within delivery teams.
  • ● What Success Looks Like
  • ● You build solutions that are technically strong, secure, scalable, and supportable.
  • ● 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.