Software Engineer II

TD•Toronto, ON

8d•CA$81,600 - CA$115,200•Onsite

About The Position

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.

Requirements

Strong software engineering fundamentals across frontend, backend services, APIs, data modelling, testing and operational support.
Experience developing secure, maintainable code in 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.
Undergraduate degree, Postgraduate degree or Technical Certificate.
Strong academic background, such as computer science or engineering.
3-5+ years relevant experience

Nice To Haves

Experience with React is preferred; candidates with strong Angular or Vue.js experience and the ability to learn React quickly will also be considered.
Experience working in Agile development environments and participating in code reviews and collaborative software development practices.
Experience leveraging GitHub Copilot, Copilot Chat, or similar AI-assisted development tools for coding, testing, debugging, and documentation.
Understanding of metadata management, governance, cataloging, lineage, and data quality concepts is considered an asset.

Responsibilities

Deliver complex features and components predictably, aligned to architecture direction and enterprise engineering standards.
Document detailed technical designs, implementation choices and trade-offs clearly enough for review, support and auditability.
Ensure implemented components align to cloud architecture patterns and support scalable, observable and resilient operation in enterprise cloud environments.
Improve code quality, test coverage and maintainability through peer review, automation and adherence to secure coding standards.
Ensure applications operate reliably through effective monitoring, incident support and timely resolution of defects and production issues.
Contribute reusable implementation patterns, documentation and knowledge sharing within the assigned solution area.
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 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.
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.
Act as a senior individual contributor responsible for designing and developing enterprise web applications, reusable UI components, and modern digital experiences supporting metadata and governance solutions.
Apply advanced knowledge of frontend engineering, component-based architecture, responsive design, accessibility, performance optimization, and scalable application development.
Design intuitive user experiences that simplify complex metadata and governance concepts into business-friendly workflows, dashboards, search, and self-service experiences.
Integrate frontend applications with REST APIs, GraphQL services, authentication platforms, and enterprise backend systems.
Provide guidance on usability, accessibility, scalability, security, maintainability, and operational readiness.
Work independently on complex initiatives, manage ambiguity, and collaborate effectively with product, UX, engineering, governance, and infrastructure teams.