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About the Role

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

Responsibilities

Provide technical expertise to implement scalable, reliable, and secure solutions for EDMO Data Catalog services.
Contribute to solutions that operate across diverse cloud environments.
Translate architecture and product requirements into quality software.
Work independently on complex components while partnering with senior engineers, Architecture, Security, Infrastructure, and Product.
Accountable for detailed design, development, testing, and operational support within your assigned solution area.
Contribute to engineering standards, automation, and reusable patterns.
Help improve team delivery through pragmatic technical recommendations and disciplined execution.
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.
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.
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 artifacts 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.
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.
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.

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.
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.

Skills

Python
TypeScript
Node.js
Cloud Platforms
Cloud-Native Application Patterns
Infrastructure-as-Code
Containerized Services
Observability
Secure Deployment Practices
CI/CD
Automated Testing
Dependency Management
Incident Support
Data Management
Data Governance
Metadata Platforms
Data Catalog Services
Collibra
Pandas
Azure
AWS
Hybrid Cloud
AI-assisted development
LLM-assisted engineering

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

3 - 5+ years relevant experience
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.

Education Level

Undergraduate degree, Postgraduate degree or Technical Certificate.
Strong academic background, such as computer science or engineering.

Salary/Compensations

$81,600 - $115,200 CAD

Benefits

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

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.

Equal Opportunity

TD is committed to providing fair and equitable compensation opportunities to all colleagues.
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.
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.