Software Engineer - AI

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. Software Engineer - AI Fairmont, WV 26554 $90,000 an hour $90,000 an hour

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.