Technology Manager

Stellantis•Forsyth, GA

About The Position

The Technology Manager designs, develops, and maintains advanced automation solutions for warehouse and parts distribution center operations. The role combines hands-on programming, systems integration, analytics, and implementation of technologies including artificial intelligence, machine learning, and robotic process automation. The position also supports daily parts warehouse operations, develops data-driven tools, and troubleshoots system issues affecting hardware, network, or service operations.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Minimum of 8 years of experience in a related field.
Proficiency in software programming languages such as Java, JavaScript, Python, C, and HTML, and serialized data formats such as JSON and XML.
Experience in systems design, architecting complex system interactions, and building data pipelines.
Demonstrated ability to develop dashboards and perform data querying.
Experience with database or analytics code development.

Nice To Haves

Experience leading application modernization or architecture projects.
Degree in Software Engineering.
Experience managing large-scale software projects in corporate environments.
Capacity planning for technical infrastructure.
Experience developing web services and micro-services.
Knowledge of network security, system design, and deployment of virtual machines and containerized applications.
Strong organizational, problem-solving, and influencing skills.
Excellent written and verbal communication and presentation abilities.
Passion for engineering excellence, unit testing, and agile project development.

Responsibilities

Develop and enhance Warehouse Management Systems using SQL, Java, and HTTP programming.
Participate in daily Parts Warehouse operations and ensure seamless integration of automation solutions.
Integrate, develop, and sustain automation systems, including ASRS technologies such as Autostore, Geek Plus, and GreyOrange.
Design and develop dashboard analytics using tools such as QlikView and Power BI to support data-driven decision-making.
Lead implementation of artificial intelligence, machine learning, and robotic process automation initiatives to optimize warehouse operations.
Write high-quality product or system development code in accordance with best practices and organizational standards.
Participate in or lead design reviews with peers and stakeholders to evaluate and select appropriate technologies.
Review other team members’ code and provide constructive feedback on style, accuracy, testability, and efficiency.
Build platforms or data pipelines to aggregate and process data from multiple sources.
Contribute to and adapt documentation or educational content based on product or program updates and user feedback.
Troubleshoot, triage, and resolve product or system issues by analyzing impacts on hardware, network, or service operations and quality.