DevSecOps / DevOps Engineer (GenAI & Cloud Platforms)

We are seeking a DevOps / DevSecOps Engineer to support the development, automation, and operation of cloud-based platforms and modern application environments. This role is ideal for candidates with experience in DevOps, DevSecOps, Cloud Engineering, Site Reliability Engineering (SRE), or Platform Engineering who are looking to further develop their skills in cloud technologies, automation, containerization, and emerging AI platforms. What You'll Do Build, maintain, and optimize CI/CD pipelines. Support cloud infrastructure across Azure, AWS, or GCP environments. Automate infrastructure deployment and configuration using Infrastructure as Code (IaC). Deploy and manage containerized applications using Kubernetes and Docker. Monitor platform performance, reliability, and operational health. Collaborate with development, cloud, and security teams to improve automation and deployment processes. Support modern AI/ML and cloud-native platform initiatives where applicable. What We're Looking For 3-6 years of experience in DevOps, DevSecOps, Cloud Engineering, SRE, or Platform Engineering. Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins. Hands-on experience with Kubernetes and Docker. Experience with Infrastructure as Code tools such as Terraform or Ansible. Working knowledge of Azure, AWS, or GCP. Scripting experience with Python or similar automation tools. Understanding of cloud-native applications and modern deployment practices. Technical Skills ✅ Cloud: Azure, AWS, or GCP ✅ DevOps & Automation: CI/CD, Terraform, Ansible, GitHub Actions, GitLab CI/CD, Jenkins, Python ✅ Containers: Kubernetes, Docker, Helm ✅ Nice to Have: DevSecOps, AI/ML Platforms, GenAI, MLOps, LLMOps 📍 Location: Toronto, ON (Hybrid) 💰 Salary: $70,000 - $83,000 CAD 🕒 Experience: 3-6 Years

The role involves building and optimizing CI/CD pipelines and automating cloud infrastructure using Infrastructure as Code. The engineer will manage containerized applications and monitor platform performance across Azure, AWS, or GCP environments.

Candidates need 3-6 years of experience in DevOps, SRE, or Platform Engineering with proficiency in Kubernetes, Docker, and scripting tools like Python. Experience with major cloud platforms and CI/CD tools such as Jenkins or GitHub Actions is required.

Identified from the job description. Confirm important requirements above.

• Azure
• AWS
• GCP
• CI/CD
• Terraform
• Ansible
• GitHub Actions
• GitLab CI/CD
• Jenkins
• Python
• Kubernetes
• Docker
• Helm
• DevSecOps
• GenAI
• MLOps

• Software
• Technology
• Engineering
• Consulting
• Data & Analytics

Minimum experience

2+ years

Apply by

Aug 23, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Associate

Application method

Direct apply is available