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Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms

  • Toronto, ON, Canada

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Job details

Posting language
English
Posted

Original job description

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.


More about this job

Responsibilities

The Cloud DevOps Engineer at Astra North Infoteck Inc. will build and run cloud systems on Azure, write infrastructure as code with Terraform, deploy applications on Kubernetes, and set up automated release pipelines. The role also supports data work on Databricks and Snowflake.

Requirements

Candidates need solid hands-on experience with Azure, Terraform, Kubernetes and CI/CD pipelines, plus Python programming and network troubleshooting. Familiarity with Databricks, Snowflake and basic data engineering concepts is required.

Skills

  • Microsoft Azure
  • Terraform
  • Kubernetes
  • Containerization
  • CI/CD pipelines
  • Infrastructure as Code
  • Python
  • Databricks
  • Snowflake
  • Query federation
  • Data engineering
  • Cloud network troubleshooting
  • Infrastructure troubleshooting
  • Automation
  • Scalable system design
  • Deployment automation

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Cloud DevOps
  • Azure
  • Terraform
  • Kubernetes
  • Docker
  • CI/CD
  • Infrastructure as Code
  • Databricks
  • Snowflake
  • Python
  • Query federation
  • Data engineering
  • Cloud infrastructure
  • Network troubleshooting
  • Containerization
  • DevOps engineer
  • Cloud engineer
  • Data platform
  • Automation
  • Azure DevOps

Tools

  • Azure
  • Terraform
  • Kubernetes
  • Databricks
  • Snowflake
  • Python

Languages

  • English

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