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.