J&M GroupVerified Job Source

Terraform Developer

Toronto, ON
On-site
Posted Oct 2, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Apply by: Mar 29, 2027
Posting language: English
Working hours: 40 hours per week
Seniority: Entry level
Application method: Direct apply is available

Job summary

Design, deploy, maintain, and troubleshoot scalable cloud infrastructure using Azure and Terraform, while supporting containerized applications, Kubernetes environments, and CI/CD pipelines. Support cloud data workflows involving Databricks and Snowflake, and integrate SaaS solutions with enterprise systems.

Job details

Position Overview: We are seeking a skilled Cloud Infrastructure & Data Engineering Specialist to join our team. This role combines infrastructure automation with modern data platform expertise, requiring hands-on experience across cloud ecosystems and infrastructure-as-code practices. 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. You will also demonstrate proficiency with version control and artifact management tools including GitHub, Artifactory, and Nexus. Enterprise Integration: Prior experience integrating SaaS solutions with enterprise systems is required, demonstrating your ability to work across multiple platforms and vendor ecosystems. Ideal Candidate Profile: You are technically proficient across multiple domains, comfortable with infrastructure automation, and capable of bridging cloud operations with data engineering requirements. You have practical experience troubleshooting complex systems and optimizing infrastructure for reliability and scalability.

What you’ll do

Requirements

The role requires hands-on experience with Azure, Terraform, Kubernetes, containerization, CI/CD, Python, and cloud network troubleshooting. Candidates should also be familiar with Databricks, Snowflake, data engineering concepts, GitHub, Artifactory, Nexus, and enterprise SaaS integration.