Terraform Developer

Apptoza Inc.; Halifax; On-site; CAD 90,000 - 130,000; Full time

Job summary

Apptoza Inc. seeks a Cloud Infrastructure & Data Engineering Specialist to join the Aperture Data Insights team in the QTS Data| Cloud & Compute stream. The role blends infrastructure automation with modern data platform expertise across Azure, Terraform, and Kubernetes.

You will implement IaC, optimize cloud definitions, and support data workflows using Databricks and Snowflake, while coordinating CI/CD pipelines and enterprise integrations.

Qualifications

• Hands-on Terraform and IaC across cloud environments.
• Azure cloud platform experience and cloud networking basics.
• Kubernetes containerization and CI/CD familiarity.
• Python proficiency and version control with GitHub.
• SaaS integrations across enterprise systems.

Responsibilities

• Cloud Infrastructure & Platform Management: design, deploy and maintain scalable cloud infra on Azure.
• Infrastructure as Code & Automation: build and troubleshoot Terraform modules for maintainability.
• Containerization & Orchestration: manage deployments with Kubernetes across clouds.
• CI/CD Pipeline Development: create and sustain automated deployment pipelines.
• Data Platform Expertise: work with Databricks and Snowflake for data workflows.
• Programming & Development: leverage Python and ensure reliable code changes.

Skills

Terraform

Azure

Kubernetes

Python

GitHub

Artifactory

Nexus

Databricks

Snowflake

CI/CD

Infrastructure as Code

Tools

Databricks

Snowflake

GitHub

Artifactory

Nexus

Job description

Role Descriptions: What is the opportunity?

Capital Markets (Canada) is looking for a Terraform Developer to join its Aperture Data Insights team in the Quantitative & Technology Services (QTS) Data| Cloud & Compute stream.

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.

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. You will also demonstrate proficiency with version control and artifact management tools including GitHub| Arti factory| 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.