Atlantis IT group - 9 emplois
Halifax, NS
Posté aujourd'hui
Détails de l'emploi :
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Role: Terraform Developer - Quantitative & Technology Services (QTS) Location: Halifax, NS - Hybrid (4 Days WFO) 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 OverviewWe 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 & RequirementsCloud 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 PipelineDevelopment 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 ProfileYou 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.
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This role is based in Halifax, NS, and offers a hybrid work arrangement with 4 days working from the office.
The role requires hands-on experience with Azure, Terraform, Kubernetes, Databricks, Snowflake, Python, and CI/CD pipelines.
You will design, deploy, and maintain scalable cloud infrastructure as Code using Terraform, troubleshoot issues, and optimize definitions for maintainability and efficiency, plus work with container platforms and CI/CD pipelines.
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake, including query federations and fundamental data engineering concepts, is required to support data workflows.
Hands-on experience with Python is essential, along with proficiency in version control and artifact management tools like GitHub, Artifactory, and Nexus.
Salary information is listed as N/A, so the posting does not provide pay details at this time.
The ideal candidate has enterprise integration experience, including integrating SaaS solutions with enterprise systems across multiple platforms and vendor ecosystems.
