Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms
- Toronto, ON
- On-site
- Posted Oct 21, 2026
- 1 position
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Apply by
- Nov 19, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design, deploy, and maintain scalable Azure cloud infrastructure, troubleshoot cloud networking and infrastructure issues, and use Terraform to automate reliable infrastructure. Manage containerized applications with Kubernetes, develop and maintain CI/CD pipelines, and support data workflows using Databricks, Snowflake, and Python.
Job details
Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms Key Responsibilities & Requirements Cloud Infrastructure & Platform Management The successful candidate will demonstrate strong working experience with major cloud platforms such as Azure with the ability to design, deploy, and maintain scalable cloud infrastructure. You will be proficient in network troubleshooting for cloud environments and capable of diagnosing and resolving complex infrastructure issues. Infrastructure as Code & Automation You will have solid working experience with Terraform and the ability to create reliable, scalable infrastructure through code. Beyond implementation, you must be able to troubleshoot and resolve Terraform-related issues, optimizing infrastructure definitions for maintainability and efficiency. Containerization & Orchestration Hands-on experience with Kubernetes and containerization technologies is essential. You will work with container platforms to ensure efficient deployment and management of applications across cloud environments. CI/CD Pipeline Development You will have demonstrated experience creating and maintaining CI/CD pipelines, ensuring automated and reliable deployment processes. Data Platform Expertise Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts. You will understand how to work within these environments to support data workflows. Programming & Development Skills Hands-on experience with Python is essential.
What you’ll do
Design, deploy, and maintain scalable Azure cloud infrastructure, troubleshoot cloud networking and infrastructure issues, and use Terraform to automate reliable infrastructure. Manage containerized applications with Kubernetes, develop and maintain CI/CD pipelines, and support data workflows using Databricks, Snowflake, and Python.
Requirements
The role requires strong hands-on experience with Azure, Terraform, Kubernetes, containerization, and CI/CD pipeline development, along with the ability to troubleshoot cloud infrastructure and networking issues. Candidates must also have Python experience and familiarity with Databricks, Snowflake, query federation, and fundamental data engineering concepts.
Listed skills
- Network Troubleshooting · Preferred
- Microsoft Azure · Preferred
- Kubernetes · Preferred
- Terraform · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure
- Terraform
- Kubernetes
- Containerization
- CI/CD Pipelines
- Databricks
- Snowflake
- Python
- Cloud Infrastructure
- Cloud Networking
- Infrastructure as Code
- Network Troubleshooting
- Data Engineering
- Query Federation
- Automation
Job areas
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
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