cover image
TD

TD

careers.td.com

64 Jobs

100,073 Employees

About the Company

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by assets & serves approx. 28 million customers in a number of locations in key financial centres around the globe. With over 95,000 employees, TD ranks among the world's leading online financial firms, with more than 17 million active online and mobile customers. Delivering legendary customer experiences is who we are & is part of our goal to be the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.

Listed Jobs

Company background Company brand
Company Name
TD
Job Title
Cloud Security Engineer (Cloud DevSecOps Engineer)
Job Description
**Job Title**: Cloud Security Engineer (Cloud DevSecOps Engineer) **Role Summary**: Design, develop, and maintain automated compliance‑as‑code (CaC) testing frameworks for multi‑cloud environments (GCP, Azure, AWS). Integrate security validations into GitHub‑based CI/CD pipelines, ensuring continuous enforcement of banking regulatory standards (NIST, ISO 27001, SOC 2, STIG). Collaborate with policy creators, security architects, and Cloud Service Owners to deliver audit‑ready, traceable compliance evidence. **Expectations**: - Deliver robust, repeatable automated test suites that validate CaC policies before deployment. - Provide clear, actionable compliance reports and dashboards; enable real‑time alerting for violations. - Maintain high test coverage and constructive feedback loops with development and security teams. **Key Responsibilities**: - Build positive, negative, and edge‑case test cases for CaC policies across GCP, Azure, and AWS. - Create and sustain a CI/CD pipeline that embeds policy checks using GitHub Actions, Terraform, and scripting. - Develop mock cloud environments, IAM roles, and services for realistic testing scenarios. - Coordinate with DevSecOps, security, and compliance stakeholders to define enforcement rules. - Validate cloud resources against CIS benchmarks, NIST, ISO 27001, and SOC 2. - Automate security scans of Terraform deployments via PowerShell and Python. - Implement logging/monitoring with tools such as SonarQube, Wiz.IO, and Splunk for real‑time detection of violations. - Ensure all artifacts are traceable to regulatory requirements for internal and external audits. **Required Skills**: - 4+ years in Cloud Security, DevSecOps, or Cloud Engineering. - Deep knowledge of GCP, Azure, and AWS native security services. - Proficiency in IaC (Terraform, Helm, ARM, JSON, YAML). - Hands‑on experience with CaC tools (HashiCorp Sentinel, Azure Policy, Wiz Policy, GCP Org Policy, Open Policy Agent). - GitHub Actions and CI/CD pipeline design; familiarity with Jenkins optional. - Scripting: Python, Bash, Go, PowerShell; Terraform IAM automation. - Understanding of CIS Benchmarks, NIST standards, ISO 27001, SOC 2, and STIG requirements. - Experience with container security and Kubernetes policy enforcement (preferred). **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Information Technology, or related field. - Information Security certifications (e.g., CompTIA Security+, CISSP, CISM) are an asset. - Cloud platform fundamentals or associate certifications (Azure Fundamentals, Azure Security Engineer Associate, GCP Fundamentals).
Toronto, Canada
On site
Mid level
24-11-2025
Company background Company brand
Company Name
TD
Job Title
Architecte de solutions III
Job Description
**Job Title** Solutions Architect III **Role Summary** Independent contributor technical advisor for Infrastructure & Engineering. Designs end‑to‑end solution architecture, defines target states, guides product roadmaps, and collaborates with platform teams to deliver secure, scalable, and reliable solutions. **Expactations** - Deliver architecture plans that align with enterprise standards and business goals. - Prioritize roadmap items and influence product strategy through architectural insight. - Mentor and coach junior architects and engineering teams. - Maintain ownership of the technical debt cycle and improve system resilience. **Key Responsibilities** - Create enterprise‑level architecture blueprints, high‑ and low‑level designs for projects and products. - Evaluate, recommend, and design solutions that meet business needs while complying with governance, security, and compliance requirements. - Lead code reviews, prototype development, and deployment automation to validate architectural concepts. - Establish observability, reliability, and performance metrics; set and monitor SLOs. - Drive Kubernetes adoption and container strategy across the organization. - Collaborate with cross‑functional stakeholders (design, engineering, product, risk, compliance). - Mentor junior staff and promote knowledge sharing. - Represent the architecture function in governance and regulatory discussions. **Required Skills** - Enterprise architecture, solution design, and architectural modeling. - Cloud platforms (AWS, Azure, GCP) and hybrid infrastructure. - Kubernetes, containerization, and CI/CD pipelines. - Database design, data architecture, and data‑centric application layering. - Security architecture, access controls, and compliance frameworks. - Observability, monitoring, and reliability engineering. - Strong communication, stakeholder management, and mentoring. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Software Engineering, or related field. - Professional certifications such as TOGAF, AWS Solution Architect – Professional, Azure Solutions Architect Expert, Certified Kubernetes Administrator (CKA), or equivalent.
Toronto, Canada
Hybrid
26-11-2025
Company background Company brand
Company Name
TD
Job Title
Solution Architect III
Job Description
Job Title: Solution Architect III Role Summary: Independent technical advisor for Infrastructure & Engineering. Designs complete solution architectures, develops blueprints and design specifications, aligns product roadmaps with enterprise standards, and collaborates with platform teams to deliver reliable, scalable, and secure solutions. Expectations: Lead end‑to‑end architecture, influence technology strategy, ensure compliance with enterprise policies, mentor junior staff, and drive continuous improvement in infrastructure and application delivery. Key Responsibilities: - Design and document end‑to‑end solution architecture and detailed blueprints for projects/products. - Evaluate, recommend, and specify technology stacks, security, scalability, and performance principles. - Lead code reviews, prototype testing, and CI/CD pipeline configuration to validate viability and quality. - Define Service Level Objectives (SLOs), observability standards, and monitoring dashboards for production systems. - Coordinate with governance, compliance, and risk teams on architectural risk and regulatory requirements. - Mentor and train junior architects and engineers. - Champion Kubernetes implementation across the organization, optimize container utilization, and lead related initiatives. - Collaborate with cross‑functional stakeholders (designers, engineers, product owners) to ensure feature delivery within scope and quality. Required Skills: - Enterprise architecture framework knowledge (e.g., TOGAF). - Proven experience designing infrastructure, middleware, and application solutions (cloud and on‑prem). - Deep understanding of Kubernetes, containerization, and orchestration. - Expertise in CI/CD, configuration management, and build automation tools. - Strong security, scalability, and reliability engineering principles. - Observability, monitoring, and incident response capabilities. - Risk assessment, compliance, and audit liaison experience. - Excellent communication and stakeholder management. - Mentoring and knowledge‑sharing skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - 8+ years of senior architecture or engineering experience. - Professional certifications preferred: TOGAF, AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Certified Kubernetes Administrator (CKA), or comparable credentials.
Toronto, Canada
Hybrid
26-11-2025
Company background Company brand
Company Name
TD
Job Title
Applied Machine Learning Scientist II, Generative AI (4043)
Job Description
Job title Applied Machine Learning Scientist II, Generative AI Role Summary Validate, review, and challenge AI/ML models, focusing on Generative AI and Deep Learning. Stay current with advances in LLMs, evaluation metrics, and industry best practices. Develop and enforce validation methodologies, conduct R&D in GenAI/Agentic AI, and communicate findings to technical and non‑technical stakeholders. Collaborate across AI teams and internal partners to ensure models meet regulatory and audit requirements. Expectations (Expactations) * Deliver rigorous validation of generative AI models, ensuring reliability, performance, and regulatory compliance. * Keep abreast of cutting‑edge research, major LLM releases, and industry benchmarks to inform validation strategies. * Provide clear, actionable recommendations to improve model quality and address risk. * Publish technical reports and insights that translate complex findings to diverse audiences. Key Responsibilities 1. Validate AI/ML models (Generative AI, Deep Learning, NLP, RAG, Transformers, Diffusion, Bagging/Boosting). 2. Design and implement statistical tests, benchmark models, and evaluation pipelines. 3. Apply and adapt AI/ML validation methodologies to align with best practices and regulatory mandates. 4. Conduct R&D on GenAI/Agentic AI evaluation, testing, and explainability. 5. Produce technical documentation, reports, and presentations for senior management and internal partners. 6. Collaborate with AI, data, and business teams to integrate validation outputs into product development. Required Skills * Advanced quantitative analysis and statistical modeling. * Proficiency in Python, Java, Scala (and related libraries: PyTorch, TensorFlow/Keras, LangChain, HuggingFace, PromptFlow). * Deep knowledge of generative AI, Agentic AI, Deep Learning, NLP, RAG, Transformers, Diffusion models. * Experience with cloud platforms (Azure, AWS) and data structures/algorithm design. * Strong communication skills (technical writing, presentations). * Ability to work independently and in a fast‑paced collaborative environment. Required Education & Certifications * Advanced degree (Masters or PhD) in Computer Science, Machine Learning, Engineering, Statistics, Mathematics, or Physics. * Proven experience as a Generative AI Scientist or Machine Learning Scientist. *Preferred Qualifications* * Publications in relevant conferences/journals. * Ability to implement AI/ML algorithms from academic research. * Knowledge of SQL and database systems.
Toronto, Canada
On site
09-12-2025