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Cloud Engineer

Fairmont

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Indexed description

SOFTWARE ENGINEER


Our Client is seeking a motivated Software Engineer to join our team. This role focuses on designing, deploying, and automating cloud infrastructure while working within a modern, AI-enabled development stack. The successful candidate will move beyond administration to build scalable solutions using code, leveraging AI tools to accelerate engineering workflows in a cloud environment.


Key Responsibilities

  • Infrastructure as Code (IaC): Design and deploy scalable cloud infrastructure using Azure ARM templates and YAML configurations.
  • AI-Enabled Engineering: Utilize AI-assisted development tools to optimize scripting, automate complex tasks, write documentation, and accelerate infrastructure deployment.
  • Automation & Scripting: Develop robust automation scripts and tools using Python and Bash to streamline deployment and operations.
  • Software Design: Apply Object-Oriented Programming (OOP) principles to create maintainable and efficient infrastructure code.
  • System Architecture: Participate in requirements elicitation and technical design sessions to translate business needs into technical cloud solutions.
  • Cross-Platform Engineering: Build and maintain solutions that operate seamlessly across both Windows and Linux environments.


Required Qualifications

  • Education: BS/MS in Computer Science, Engineering, or a related field (or equivalent experience).
  • Professional Experience: Must demonstrate professional working experience. Note: Academic coursework and internships cannot be substituted for experience requirements.
  • Programming Core: Strong understanding of Object-Oriented Programming (OOP) concepts and proficiency in Python.
  • Cloud Proficiency: Hands-on experience or strong familiarity with cloud infrastructure, specifically Azure and Azure Resource Manager (ARM) templates. AWS and Google Cloud experience is a plus.
  • OS Knowledge: Comfortable working in mixed operating system environments (solid knowledge of both Windows and Linux internals).
  • Scripting: Ability to write complex scripts in Bash and PowerShell/CMD.
  • Configuration Management: Experience with serialization languages like YAML for configuration and pipeline definitions.


  • Preferred Skills
  • AI Interest: Enthusiasm for adopting AI tools in the software development lifecycle.
  • Experience with CI/CD pipelines.
  • Previous exposure to requirements gathering or technical consulting.


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