Technology Solutions Pay Details:
$81,600 - $115,200 CAD 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. 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.
Detailed technical designs, implementation choices and trade-offs are documented clearly enough for review, support and auditability.
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
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.
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 secure use of AI-enabled engineering practices.
Adhere to enterprise frameworks, methodologies and controls related to software engineering activities.
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.
Performs complex to difficult technical tasks independently and works autonomously as a senior contributor on a diverse range of tasks.
adapts, integrates, codes, tests and debugs programs; Generally reports to a Senior Manager, Engineering.
Qualifications & Technical Requirements
Strong hands-on experience designing normalized, extensible relational data models , including schemas, entities, relationships, keys, constraints, historical/versioned data, and models that can accommodate multiple source structures.
Knowledge Graph & Graph Database Engineering: Hands-on experience designing and implementing knowledge graph or graph-oriented data models, including nodes, edges, relationship semantics, graph traversal and query patterns, and integrating graph capabilities with PostgreSQL or graph database technologies to support connected-data discovery, lineage, dependency mapping and impact analysis.
Strong hands-on experience with PostgreSQL, SQL, Python and data engineering, including database schemas, indexing, query optimization, JSON/JSONB where appropriate, transformations, change tracking, and high-volume data processing.
Strong understanding of SQL versus NoSQL trade-offs.
Ability to contribute hands-on to the design and implementation of a data lake , including raw, standardized/ normalized, curated/ consumption layers that can scale for future sources and use cases.
Advanced CI/CD and DevOps practices: automated testing, release strategies, infrastructure-as-code and environment management.
Expert knowledge of cloud infrastructure and scalable architecture patterns, including cloud-native services, containerization, infrastructure-as-code, resiliency patterns, observability and secure enterprise deployment.
Data Troubleshooting & Quality: Strong ability to investigate and resolve data discrepancies, missing or duplicate records, broken relationships, schema changes, ingestion failures, performance issues, and source-to-target reconciliation problems, with appropriate data-quality controls.
Data Consumption & Integration: Experience designing curated datasets, APIs, scheduled extracts and event-based interfaces that enable downstream applications and users to consume data




AI tooling fluency: practical experience with coding copilots / LLM agents and a vision for safe integration into enterprise workflows.
Technical Leadership: Ability to independently own complex development work while providing hands-on technical guidance to junior developers through solution design, development patterns, troubleshooting, code reviews, testing, documentation, and knowledge sharing.
PostgreSQL, SQL, Python, REST/Graph APIs, Kafka, Batch/File Processing, Azure, Databricks/PySpark, Git & CI/CD, Knowledge Graph / Graph Databases
Experience in data management, data governance, data cataloging or metadata platforms is a plus.
Hands-on familiarity or integration experience in data management, data governance, metadata or catalog platforms, including DataHub, OpenMetadata, Collibra, or comparable solutions is preferable.
Understanding of security and compliance engineering concepts, including RBAC, ABAC, SSO/MFA, secrets management, audit logging, access governance, network controls, and secure configuration baselines.
Exposure to pandas for data analysis, profiling, transformation or automation use cases is a plus.
Familiarity with responsible use of coding copilots or AI-assisted developer workflows.
Undergraduate degree, Postgraduate degree or Technical Certificate.

- Strong academic background, such as computer science or engineering.
- 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):

📌 Software engineer - work home (Toronto)
🏢 TD Bank
📍 Toronto