Technology Manager

StellantisDetroit, MI
2d

About The Position

The Technology Manager is responsible for designing, developing, and maintaining advanced automation solutions within warehouse and parts distribution center operations. This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and robotic process automation.

Requirements

  • Bachelor’s degree in Computer Science or equivalent work training.
  • Minimum of five (5) years’ experience in a related field.
  • Proficiency in software programming languages (e.g., Java, JavaScript, Python, C, HTML) and serialized data formats (e.g., JSON, 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 C++ programming.
  • Participate in the daily operations of Parts Warehouse, ensuring seamless integration of automation solutions.
  • Integrate, develop, and sustain automation systems, including ASRS technologies (such as Autostore, Geek Plus, GreyOrange).
  • Design and develop dashboard analytics using tools like QlikView and Power BI to support data-driven decision-making.
  • Lead the implementation of artificial intelligence, machine learning, and robotic process automation initiatives to optimize warehouse operations.
  • Write high-quality product or system development code, adhering to best practices and organizational standards.
  • Participate in or lead design reviews with peers and stakeholders to evaluate and select appropriate technologies.
  • Review code developed by other team members, providing constructive feedback to ensure adherence to style guidelines, accuracy, testability, and efficiency.
  • Build platforms or data pipelines to aggregate and process data from multiple sources.
  • Contribute to and adapt existing documentation or educational content based on product/program updates and user feedback.
  • Troubleshoot, triage, and resolve product or system issues by analyzing their impact on hardware, network, or service operations and quality.
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