Cloud Engineer

TD Bank; Toronto; On-site; CAD 114,000 - 137,000; Full time

Job summary

A leading financial institution is seeking an Engineer II Cloud (Security and AI Test Automation Engineer) in Toronto. This role involves automating compliance policies across multi-cloud environments and developing AI-driven test frameworks. Candidates should have over 4 years of experience in Cloud Security or similar roles. The position offers a salary range of $114,000 - $136,800 CAD per year, with opportunities for growth in a supportive work environment.

Qualifications

• 4+ years of experience in Cloud Security, DevSecOps, AI, or Cloud Engineering roles.
• Strong knowledge of multi-cloud environments (GCP, Azure, AWS).

Responsibilities

• Automate testing for cloud policies.
• Develop and maintain AI-driven automated test frameworks.
• Collaborate with security and compliance teams.
• Validate cloud resource configurations against industry standards.

Skills

Knowledge of GCP

Knowledge of Azure

Knowledge of AWS

Cloud Security

DevSecOps

AI

Tools

Azure Foundry

Azure ML

Python

Terraform

SonarQube

Splunk

Job description

Overview

Title: Engineer II Cloud (Security and AI Test Automation Engineer) B

Posted on February 01, 2026 by TD Bank

Important notice: This job posting has been provided by a partner site. Job Bank is not responsible for this content.

Job details

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line of Business: Technology Solutions

Pay Details: $114,000 - $136,800 CAD. This role may be eligible for a pay premium above the posted salary range, reassessed annually. Open dialogue with the recruiter is encouraged for more specific pay details.

TD is committed to fair and equitable compensation opportunities. Base pay varies by candidate skills, experience, and location. Statements herein describe general policy and may not reflect individual offers.

Job Description

We are looking for a detail-oriented Cloud Security and AI Test Engineer to join our team. This role focuses on automating and validating Compliance-as-Code (CaC) policies across multi-cloud environments (GCP, Azure, AWS). You will blend cloud security expertise with AI tools to enhance compliance, security, and test automation, ensuring continuous validation across cloud environments.

Responsibilities

• Automated testing for cloud policies.
• Design, develop, implement and maintain AI-driven automated test frameworks for the behavior of existing compliance-as-code policies across cloud environments (GCP/AWS/Azure) in alignment with banking regulations.
• Implement AI-driven test environments using Azure Foundry and Azure ML to create realistic mock cloud setups, including network and IAM configurations to simulate and test policies effectively.
• Utilize Azure AI Search, Azure OpenAI, and Azure Machine Learning to build intelligent validation routines that can predict policy compliance issues and recommend remediation steps.
• Develop comprehensive positive, negative and edge case test scenarios to validate policy enforcement logic. Maintain a test suite library and ensure traceability between compliance requirements, validation cases, and artifacts.
• Collaborate with CaC policy developers, security architects, and Cloud Service Owners to understand intended behavior and failure conditions.
• Continuously integrate testing into CI/CD pipelines (GitHub Actions) and modern tooling for scripting efficiencies and streamlined policy validation templates.
• Automate security scanning and validation of Terraform deployments with Python.
• Validate enforcement of banking cloud security policies by embedding automated compliance checks into DevSecOps workflows and actions.
• Work with security, DevSecOps, and Cloud Compliance governance teams to define and enforce cloud security controls in accordance with regulatory mandates.
• Validate cloud resource configurations against financial industry standards (NIST, ISO 27001, SOC 2).
• Implement and test logging and monitoring to detect compliance violations in real time. Automate generation of compliance reports and dashboards using tools like SonarQube, Wiz.IO, Splunk, Dynatrace, AppOmni.
• Ensure TD standards and STIG requirements for IaaS, PaaS, SaaS CaC development and testing are traceable and auditable for risk assessments and regulatory audits.

Qualifications

• Strong knowledge of GCP, Azure, AWS.
• 4+ years in Cloud Security, DevSecOps, AI or Cloud Engineering roles.

Location & Terms

• Location: Toronto, ON
• Work location: On site
• Salary: $35.00 to $91.35 hourly
• Terms of employment: Permanent, full-time
• Starts as soon as possible
• Vacancies: 1

Advertised until

2026-03-02