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Software Engineer II

Toronto, ON, Canada

$81,600 - $115,200 CAD · Full-time

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Job details

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$81,600 - $115,200 CAD

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 Description:

Role Summary

As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate across diverse cloud environments, applying practical knowledge of cloud infrastructure, deployment patterns and scalable engineering practices. You translate architecture and product requirements into quality software, working independently on complex components while partnering with senior engineers, Architecture, Security, Infrastructure and Product.

You are accountable for detailed design, development, testing and operational support within your assigned solution area. You contribute to engineering standards, automation and reusable patterns, and help improve team delivery through pragmatic technical recommendations and disciplined execution.

You support responsible AI-assisted engineering by applying approved guardrails, using AI tools where appropriate, and validating generated outputs through code review, automated testing and secure delivery practices.

Key Outcomes

Complex features and components are delivered predictably, aligned to architecture direction and enterprise engineering standards.

Detailed technical designs, implementation choices and trade-offs are documented clearly enough for review, support and auditability.

Implemented components align to cloud architecture patterns and support scalable, observable and resilient operation in enterprise cloud environments.

Code quality, test coverage and maintainability improve through peer review, automation and adherence to secure coding standards.

Applications operate reliably through effective monitoring, incident support and timely resolution of defects and production issues.

The team benefits from reusable implementation patterns, documentation and knowledge sharing within the assigned solution area.

Customer

Develop and document detailed solution designs, acting as an application SME through design and development while ensuring alignment with Architecture.

Build, test and support complex application components, APIs, integrations and data flows that meet business, technical, performance and security requirements.

Build and support cloud-ready components, APIs, integrations and data flows using approved infrastructure, deployment and scalability patterns.

Analyze technical requirements and recommend pragmatic engineering solutions for assigned features, components and platform capabilities.

Review technical deliverables throughout design and development to identify quality gaps, redesign needs and cross-release impacts.

Work with technology partners to define metrics, validate performance goals and address application or data issues affecting solution integrity.

AI Workflow Innovation & Governance

Use approved AI-assisted development tools to accelerate coding, refactoring, testing and documentation within defined enterprise guardrails.

Validate AI-generated code through peer review, automated tests, linting, dependency checks and secure coding practices before delivery.

Document prompts, assumptions or generated artefacts when required so outputs remain traceable and supportable.

Escalate potential privacy, IP, security or data-handling concerns before using sensitive information in AI-assisted workflows.

Contribute examples, patterns and lessons learned that help the team improve safe use of AI-enabled engineering practices.

Shareholder

Adhere to enterprise frameworks, methodologies and controls related to software engineering activities.

Conduct code reviews and contribute to operational readiness reviews, gating and review sign-offs for solution design.

Identify opportunities to improve quality, reduce cost, automate manual effort and enhance stakeholder experience.

Protect the interests of the organization by identifying and managing risks and escalating non-standard or high-risk activities.

Keep current with emerging engineering trends, regulatory expectations and technology practices that may impact assigned solutions.

Employee / Team

Actively mentor and enable team members by sharing knowledge, engineering practices and practical implementation guidance.

Participate fully as a member of the team, supporting a positive work environment that promotes quality, innovation, teamwork and timely communication.

Keep others informed on project status, technical risks, issues and relevant day-to-day delivery information.

Lead productive working relationships with internal technology partners, product stakeholders and control functions.

Contribute to a fair, positive and equitable environment and act as a brand ambassador for the business area and the bank.

Breadth & Depth

Advanced knowledge of a specific domain or range of engineering frameworks, technologies, tools, processes and organizational issues.

Performs complex to difficult technical tasks independently and works autonomously as a senior contributor on a diverse range of tasks.

Develops program specifications; adapts, integrates, codes, tests and debugs programs; and is responsible for execution.

Uses existing procedures to solve routine problems and makes limited exceptions.

Generally reports to a Senior Manager, Engineering.

Qualifications & Technical Requirements

Strong software engineering fundamentals across backend services, APIs, data modelling, testing and operational support.

Experience developing secure, maintainable code in Python and modern languages and frameworks, preferably TypeScript / Node.js and cloud-native patterns.

Practical knowledge of cloud platforms, cloud-native application patterns, infrastructure-as-code concepts, containerized services, observability and secure deployment practices.

Working knowledge of CI/CD, automated testing, dependency management, observability and incident support.

Ability to translate requirements into technical designs, estimates, user stories and acceptance criteria.

Effective communication skills with the ability to explain technical choices, risks and trade-offs to engineers and stakeholders.

Preferred Qualifications

Experience with data management, data governance, metadata platforms or data catalog services.

Familiarity with Collibra or comparable data intelligence platforms is a plus.

Pandas experience for data analysis, profiling, transformation or automation use cases is a plus.

Experience developing or supporting applications on Azure, AWS or hybrid cloud platforms using managed services, containerized workloads, secure API integrations and CI/CD-based deployment models.

Practical exposure to coding copilots or LLM-assisted engineering workflows.

Experience and / or Education

Undergraduate degree, Postgraduate degree or Technical Certificate.

Strong academic background, such as computer science or engineering.

3 - 5+ years relevant experience.

Who We Are:

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 to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

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.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. 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.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. 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.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

You will design, develop, and support scalable, secure cloud-based data catalog services while collaborating with cross-functional teams. Additionally, you will contribute to engineering standards, mentor team members, and implement AI-assisted workflows within enterprise guardrails.

Requirements

Candidates must have 3-5+ years of relevant experience with strong software engineering fundamentals in backend services and cloud-native development. Proficiency in Python, TypeScript/Node.js, and cloud platforms like Azure or AWS is required, along with an undergraduate or postgraduate degree.

Skills

Software engineering
Python
TypeScript
Node.js
Cloud-native patterns
Cloud infrastructure
API development
Data modeling
CI/CD
Automated testing
Observability
Infrastructure-as-code
Containerized services
Secure coding
Technical design
Mentoring

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Python
TypeScript
Node.js
Cloud-native
Azure
AWS
API
Data Catalog
CI/CD
Infrastructure-as-code
Containerization
Observability
Data Governance
Collibra
Pandas
LLM
Artificial Intelligence
Backend
Data Modeling
Software Engineering
Technical Design
Automation
Security
Cloud Platforms
Enterprise Engineering
Mentoring
System Architecture
Deployment Patterns
Scalability

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