Terraform Developer – Cloud Infrastructure & Data Platforms

Axiom Global Technologies; Halifax; On-site; CAD 90,000 - 140,000; Full time

Job summary

Axiom Global Technologies is seeking an experienced Terraform Developer to join the Aperture Data Insights team, focusing on cloud infrastructure automation and IaC across Azure and data platforms.

The role emphasizes Terraform, Kubernetes, and CI/CD pipelines to design, deploy, and optimize scalable cloud infrastructure, with collaboration across infrastructure, development, and data engineering teams.

Qualifications

• Hands-on Terraform and IaC experience.
• Practical Azure cloud infrastructure management.
• Python scripting and automation proficiency.
• Experience with Kubernetes and containerization.
• Experience building CI/CD pipelines.

Responsibilities

• Design, deploy, and maintain scalable cloud infrastructure on Azure.
• Troubleshoot networking and infrastructure issues.
• Optimize reliability, performance, and maintainability.
• Develop and maintain Terraform configurations and modules.
• Build CI/CD pipelines for automated provisioning and deployments.
• Collaborate with data engineering teams for data platform integration.
• Support data platforms like Databricks and Snowflake.

Skills

Terraform

Infrastructure as Code

Azure

Python scripting

Kubernetes

CI/CD pipelines

GitHub

Databricks

Snowflake

Query federation

Data engineering concepts

Tools

GitHub

JFrog Artifactory

Sonatype Nexus

Databricks

Snowflake

Job description

We are seeking an experienced Terraform Developer to join the Aperture Data Insights team within the Quantitative Technology Services (QTS) Data Cloud Compute stream.

This role combines cloud infrastructure automation, Infrastructure as Code (IaC), container orchestration, and modern data platform technologies. The ideal candidate will have hands‑on experience designing, deploying, and maintaining scalable cloud infrastructure, with a strong focus on Terraform, Azure, CI/CD automation, and cloud‑based data engineering platforms.

Key Responsibilities

• Design, deploy, and maintain scalable cloud infrastructure, primarily using Microsoft Azure.
• Troubleshoot cloud networking and infrastructure issues, identifying root causes and implementing effective solutions.
• Optimize infrastructure for reliability, performance, scalability, and maintainability.

2. Infrastructure as Code (IaC) & Automation

• Develop, implement, and maintain Terraform configurations and reusable infrastructure modules.
• Troubleshoot Terraform‑related issues and resolve deployment and provisioning failures.
• Follow Infrastructure as Code best practices to ensure consistency, reliability, and efficient infrastructure management.

3. Containerization & Orchestration

• Work with Kubernetes and containerization technologies to deploy and manage applications across cloud environments.
• Support container orchestration, deployment automation, and infrastructure integration.
• Build, maintain, and optimize CI/CD pipelines for automated infrastructure provisioning and application deployments.
• Implement reliable deployment workflows and integrate infrastructure automation into development processes.
• Work with modern cloud data platforms, including Databricks and Snowflake.
• Support data engineering workflows and understand query federation concepts and data platform integration requirements.
• Collaborate with data engineering teams to ensure effective integration between cloud infrastructure and data services.

6. Programming & Development Tools

• Develop automation scripts and supporting utilities using Python.
• Use GitHub for source control and collaborate through version‑controlled development workflows.
• Manage artifacts and dependencies using tools such as JFrog Artifactory and Sonatype Nexus.
• Integrate SaaS solutions with enterprise systems and cloud platforms.
• Troubleshoot cross‑platform integration issues and ensure reliable communication between enterprise applications and infrastructure services.

Required Skills & Qualifications

• Strong hands‑on experience with Terraform and Infrastructure as Code.
• Practical experience with Microsoft Azure and cloud infrastructure management.
• Proficiency in Python scripting and automation.
• Experience with Kubernetes and containerization technologies.
• Hands‑on experience developing and maintaining CI/CD pipelines.
• Knowledge of cloud networking and infrastructure troubleshooting.
• Familiarity with Databricks, Snowflake, query federation, and fundamental data engineering concepts.
• Experience with GitHub, Artifactory, and/or Nexus.
• Experience integrating SaaS applications with enterprise systems.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Ability to collaborate effectively with infrastructure, development, and data engineering teams.

Ideal Candidate Profile

The ideal candidate is a hands‑on cloud infrastructure specialist with strong Terraform expertise and experience supporting modern cloud and data platforms. They can automate infrastructure provisioning, troubleshoot complex technical issues, build reliable CI/CD workflows, and integrate cloud services with enterprise data environments.

Important:

Candidates must be willing and able to work on‑site in Halifax four days per week. This requirement is mandatory and non‑negotiable.