Location: Toronto, ON (Hybrid — 2 days onsite (Wednesday & Friday anchor days), 3 days work from home. Potential to move to 4 days in office.) Duration: 3 Months (Extension and conversion possible based on business needs and performance)

Job Description: We are looking for a detail-oriented Cloud Security and AI Test Engineer to join our Global Security and Defence team. This individual will focus on automating and validating Compliance-as-Code (CaC) policies across multi-cloud environments including GCP, Azure, and AWS. In this role, you will blend your expertise in cloud security with advanced AI tools to enhance compliance, security, and test automation — ensuring continuous validation within multi-cloud environments aligned with banking regulations. This is a maternity leave backfill position within a 10-person team, offering exposure to enterprise-grade cloud security operations, AI/ML-driven testing frameworks, and financial services compliance standards. The successful candidate will have the opportunity to network across the organization and gain deep experience with cloud (AWS, GCP, Azure), security, and AI tooling.

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. AI-Driven Test Environments: 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. Intelligent Validation Routines: 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. Comprehensive Test Case Development: Develop comprehensive positive, negative, and edge/exception test cases to validate policy enforcement logic. Test Suite Maintenance: Maintain a test suite library and ensure traceability between compliance requirements, validation cases, and artifacts. Cross-Functional Collaboration: Collaborate with CaC policy developers, security architects, and Cloud Service Owners to understand intended behavior and failure conditions. CI/CD Integration: Integrate AI-assisted compliance validation into CI/CD pipelines, GitHub Actions, and GitHub workflows — using GitHub Copilot for scripting efficiencies and M365 Copilot Studio for creating streamlined policy validation templates. Terraform Security Scanning: Automate security scanning and validation of Terraform deployments with Python. DevSecOps Workflow Embedding: Validate the enforcement of banking cloud security policies by embedding automated compliance checks into DevSecOps workflows and actions. Regulatory Compliance Enforcement: Work closely with security, DevSecOps teams, and Cloud Compliance governance teams to define and enforce cloud security controls in accordance with regulatory mandates. Standards Validation: Validate cloud resource configurations against financial industry standards (NIST, ISO 27001, SOC 2). Real-Time Monitoring: Implement and test logging and monitoring solutions to detect compliance violations in real time. Compliance Reporting: Automate and validate the generation of compliance reports and dashboards using tools like SonarQube, Wiz.IO, Splunk, Dynatrace, and AppOmni. Audit Readiness: Ensure that all Client Standards & STIG requirements for IaaS, PaaS, SaaS, CaC development, and testing activities are traceable and auditable for internal risk assessments and external regulatory audits.

Experience: 8+ years of overall professional experience in Cloud Security, DevSecOps, AI, or Cloud Engineering roles 3+ years of Technical Lead experience with demonstrated ability to guide teams and drive technical decisions Proven track record of hitting deliverables and timelines in enterprise environments Experience working within banking or financial institution environments is highly preferred History of stable employment with minimal unexplained gaps

Skillsets: MUST-HAVE Hard Skills: 8+ years in Cloud Security, DevSecOps, AI, or Cloud Engineering roles 3+ years of Technical Lead experience Strong knowledge of GCP, Azure , and AWS cloud platforms Proficiency in Jira and Confluence for project tracking and documentation Proficient in Python for automation and scripting Hands-on experience with CI/CD pipelines (GitHub Actions, GitHub workflows) Proficient in Terraform for infrastructure-as-code deployments

NICE-TO-HAVE Skills: Cloud or DevSecOps engineering certifications (AWS, GCP, Azure, CISSP, etc.) Experience with container security and Kubernetes policy enforcement Hands-on experience with HashiCorp Sentinel, Azure Policy, Wiz Policy, GCP Org Policy, Open Policy Agent (OPA), and Kubernetes Cloud infrastructure-as-code experience with Helm, ARM, JSON, YAML, and REGO Banking or financial institution experience

SOFT SKILLS: Strong communication skills (written and verbal) Strong interpersonal skills — able to build relationships across teams Self-motivated, well-organized, able to work both independently and in a team environment Attention to detail with a self-starter mentality and adaptability

Education: Degree or Diploma required Masters or PhD is preferred Cloud or DevSecOps engineering certifications are considered an asset

Additional Qualifications: Licenses: Relevant cloud/security licenses as applicable Certifications: Cloud or DevSecOps engineering certifications are an asset Shift Hours: Monday–Friday, core business hours (37.5 hrs/week) Training Period: Client onboarding, knowledge transfer, virtual independent training, and shadowing team members Performance Measurement: Hitting deliverables and timelines

About US Tech Solutions US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.