DevSecOps Engineer (Generative AI)

TL;DR

DevSecOps Engineer (Azure/Kubernetes): Designing and maintaining secure, scalable cloud infrastructure and CI/CD pipelines for a Generative AI team with an accent on cloud-native security and automation. Focus on implementing zero-trust architectures, optimizing AKS clusters, and embedding security throughout the SDLC for compliant SaaS solutions.

Location: Hybrid in Toronto, Ontario

Company

A premier partner for global enterprises specializing in digitization, automation, and the development of next-generation digital products.

What you will do

• Design and maintain secure, scalable Azure cloud infrastructure and multi-tenant SaaS architectures.
• Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
• Develop and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
• Manage containerized applications and orchestration using Docker, Kubernetes (AKS), and Helm.
• Integrate automated security scanning, IAM, RBAC, and policy enforcement into the software development lifecycle.
• Ensure cloud security compliance following SOC 2, ISO 27001, and CIS Benchmarks.

Requirements

• 5+ years of experience in DevOps, DevSecOps, or Site Reliability Engineering (SRE).
• Strong hands-on expertise with Microsoft Azure cloud services and cloud-native architecture.
• Proficiency with AKS, Docker, Kubernetes, and Helm.
• Proven experience with IaC tools such as Terraform, Bicep, or ARM templates.
• Strong scripting and automation skills in PowerShell, Bash, or Python.
• Must be based in or able to work hybrid in Toronto, Ontario.

Nice to have

• Microsoft Azure certifications (e.g., AZ-104, AZ-400, AZ-500, or AZ-305).

Culture & Benefits

• Collaborative environment working across engineering, architecture, and security teams.
• Opportunity to work on cutting-edge Generative AI projects.
• Commitment to diversity and equal opportunity employment under the Ontario Human Rights Code.
• Reasonable accommodations provided for candidates with disabilities during the recruitment process.