Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Technology Solutions
Pay Details:
$96,900 - $136,800 CAD
This role is eligible for a discretionary variable compensation award that considers business and individual performance.
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:
Are you a technically fearless engineer-leader who sees AI not as a buzzword but as a *different way of thinking* — one that reshapes how teams design, build, and deliver software? Do you thrive at the intersection of architecture, data, and human-centered product delivery?
As Technology Delivery Lead (TDL) embedded in a high-performing, cross-functional delivery squad at TD, you will be the technical heartbeat of the team — defining architecture, setting engineering standards, mentoring engineers, and being the first voice in the room when a new feature touches system integration, security, or data — all while championing an AI-native mindset that continuously pushes the team to work smarter, not just harder.
This is not a purely hands-off role. You write code, you review PRs, you pair with engineers on hard problems, and you represent the team's technical voice in planning ceremonies and cross-team dependency conversations.
Job Accountabilities – What You'll Do
Solution Architecture & Technical Leadership
- Serve as the Solution Architect / Tech Lead (SA/TL) for the delivery squad — the final technical authority for all design decisions within the team
- Design and own end-to-end system architecture including API contracts, service/repository layers, data models, and integration patterns between Go backend, React frontend, and PostgreSQL
- Lead architecture reviews at the start of every new feature involving system integration, new components, or external dependencies — before a single line of code is written
- Produce architectural artifacts: sequence diagrams, component diagrams, ADRs (Architecture Decision Records), and API specifications
- Evaluate and articulate trade-offs between competing architectural approaches, balancing velocity, maintainability, security, and cost
- Define and enforce coding standards, branching strategies, and CI/CD pipeline quality gates across the team
AI-First Thinking & Innovation
- Champion an AI-native engineering culture — not just tooling adoption, but a fundamentally different problem-solving approach: using AI to augment requirements analysis, code generation, test automation, anomaly detection, and decision support
- Leverage large language models and generative AI APIs to build intelligent features — including natural language query interfaces, intelligent summarization, and document understanding pipelines
- Integrate AI-powered developer tooling into the team's SDLC to accelerate delivery without sacrificing quality
- Prototype and evaluate LLM-based solutions for business problems; present build-vs-buy-vs-integrate recommendations to stakeholders
- Continuously scan the AI landscape and bring forward concrete, scoped proposals — not just ideas — for how emerging capabilities can be applied to the product domain
- Coach the team on prompt engineering, RAG patterns, fine-tuning trade-offs , and responsible AI use within TD's risk and compliance framework
Google Cloud Platform (GCP) Engineering
- Design and operate cloud-native workloads on Google Kubernetes Engine (GKE) — including cluster configuration, workload autoscaling, resource quotas, and deployment strategies (blue/green, canary)
- Architect data storage and retrieval solutions using Google Cloud Storage (GCS) , including lifecycle policies, IAM bindings, and integration patterns with backend services
- Build and maintain BigQuery data pipelines and reporting views for analytics and executive dashboards
- Leverage Cloud Run , Pub/Sub , Cloud Scheduler , and Secret Manager to build event-driven, serverless-adjacent features where appropriate
- Implement observability stacks using Google Cloud Operations Suite (Monitoring, Logging, Trace) — defining SLOs, alerting thresholds, and runbooks
- Manage infrastructure as code using Terraform for GCP resource provisioning and environment parity across dev/staging/prod
Data Architecture & Platform
- Elicit, analyze, and translate business and data requirements into complete solutions — including entity-relationship models, dimensional data models, ETL/ELT pipelines, and reporting layers
- Design and implement complex ETL/ELT frameworks leveraging Databricks , PySpark , and BigQuery that meet performance, lineage, and governance requirements
- Establish and enforce data quality frameworks, metadata enrichment standards, and data provenance tracking aligned to TD Enterprise Data Governance policies
- Ensure privacy, security, and access control requirements are captured and implemented for all data assets
- Develop and maintain knowledge of upstream data sources, their schemas, and their reliability characteristics; surface risks proactively
Security & Compliance
- Collaborate with the Security / BISO role on any feature involving authentication, authorization, sensitive data, financial data, or external integrations — security review is mandatory before release
- Validate authentication/authorization implementations against TD security standards and OWASP Top 10
- Ensure all AI/ML integrations comply with TD's responsible AI framework and data residency requirements
Agile Delivery & Cross-Team Collaboration
- Participate actively in SAFe delivery ceremonies — PI Planning, System Demos, Inspect & Adapt — as the technical representative for the team
- Identify and surface cross-team technical dependencies to the Release Train Engineer (RTE) early; co-own resolution
- Partner with the Product Owner (PO) before development starts on any feature or epic to ensure technical feasibility, effort accuracy, and risk visibility
- Work with the Business Analyst (BA/BSA) to decompose requirements into technically sound, testable stories with clear acceptance criteria
- Mentor and grow engineers within the team through pairing, code review, design critique, and knowledge-sharing sessions
- Prioritize and manage own workload to deliver quality results on sprint timelines while unblocking teammates
Where You'll Work
You’ll be expected to work Primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.
Job Requirements – What You Need to Succeed
- Undergraduate degree in Computer Science, Software Engineering, or equivalent technical discipline
- 7+ years of relevant software engineering experience, with at least 3 years in a tech lead or architect capacity
- Demonstrated experience designing and shipping production systems on Google Cloud Platform
- Hands-on experience integrating LLM/generative AI APIs into production applications
Must-Have
Backend Engineering
Go (Golang) — handlers, middleware, REST API design, service/repository patterns
Frontend Engineering
React + TypeScript, state management, REST API integration
Data Engineering
SQL, PostgreSQL, data modeling (ERD, dimensional), ETL/ELT design
Cloud — GCP
GKE, GCS, BigQuery, Cloud Run, IAM, Secret Manager, Terraform
AI / ML
LLM integration patterns, RAG, prompt engineering, embedding models, generative AI APIs
Architecture
System design, API contracts, ADRs, sequence/component diagrams
Security
OWASP Top 10, auth/authz patterns, threat modelling basics
Agile / SAFe
PI Planning, cross-team dependency management, story refinement
Strong Assets
- Experience with Databricks and PySpark at enterprise scale/large scale transformation
- Experience in financial services or regulated industries (data governance, audit trails, compliance requirements)
- AI developer tooling (e.g. AI-assisted coding platforms) in a team setting
- Vertex AI — model deployment, MLOps pipelines, model evaluation
- Google Cloud Operations Suite — SLO definition, alerting, distributed tracing
- Experience with human-centered design (HCD) practices and working in design-led delivery squads
- Familiarity with OpenShift / Kubernetes in an on-prem or hybrid context
AI Mindset
We are not looking for someone who has taken an AI certification course. We are looking for
someone who:
- Thinks differently because of AI – approaches problems by asking "what if we didn't have to code this?" or "what if the system could reason about this itself?"
- Has shipped at least one AI powered feature into production and learned hard lessons from it
- Can evaluation AI claims critically – knows with a model is hallucinating, understands latency/cost trade-offs, and can right-size AI involvement to the actual problem
- Brings concrete proposals, not abstractions – "here is an AI-powered feature we could ship in Sprint 3" vs. "we should leverage AI"
Why TD – Why this role
Greenfield platform — You are not maintaining legacy; you are setting the foundation.
AI by design — The team has executive support to build AI-native from day one, not bolt it on later.
Modern stack with legacy fluency — Go, React, TypeScript, PostgreSQL, GCP — and the practical ability to leverage AI to decompose, understand, and modernize COBOL and legacy codebases when the enterprise demands it.
Agile delivery structure — You get the autonomy of a startup squad with the backing of Canada's largest bank.
Impact at scale — Your platform directly shapes fairness and transparency at the enterprise level.
Growth — TD invests in colleague development; this role has a clear path to Senior Technical Lead and Distinguished Engineer tracks.
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
