Software Engineer - AI
CGT
Fairmont, United States of America
yesterday
Role details
Contract type
Internship / Graduate position Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 90KJob location
Fairmont, United States of America
Tech stack
Microsoft Windows
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Bash
Cloud Computing
Cloud Engineering
Configuration Management
Computer Programming
Serialization
Python
Linux kernel
Linux System Administration
Object-Oriented Software Development
Powershell
Cloud Services
Software Engineering
Systems Architecture
YAML
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Infrastructure as Code (IaC)
Information Technology
Azure
Job description
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.
Requirements
- 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.
