Manufacturing IT Platform Senior Engineer

Clarios•Meadowbrook, TN

5d•Onsite

About The Position

We are seeking a Manufacturing IT Platform Engineer with 8–10 years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). The role focuses on building productized, reusable capabilities for MoM/MES integration, manufacturing data platforms, and edge deployments, using containers and Kubernetes to deploy and support solutions in manufacturing plants. This role is ideal for an engineer who wants to build real systems used on the shop floor, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. The Plant IT Technician is responsible for installing and supporting the IT hardware, software, and network infrastructure at the Oconee (West Union, SC) manufacturing facility. The position is primarily based in West Union, SC but may require occasional travel to support remote sites. The Plant IT Technician reports directly to the USCAN Plant Systems East Team Lead with a dotted line relationship to the local plant management teams.

Requirements

8–10 years of traditional software development experience in Manufacturing.
2–3 years of active experience using AI tools for software development.
Strong coding skills in Python, Java, Node.js, or .NET.
Experience building and consuming REST APIs and data services.
Hands-on experience with Docker containers.
Working knowledge of Kubernetes concepts (pods, deployments, services).
Basic understanding of manufacturing or industrial systems (MES, shop-floor data, production systems).

Nice To Haves

Exposure to MoM/MES, SCADA, Historian, or IoT systems.
Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts).
Any experience deploying applications to edge or on-prem environments.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with manufacturing and shop-floor systems.
Comfortable combining traditional engineering skills with AI-assisted development.
Product-oriented mindset—focused on reusable, scalable solutions.
Willingness to support plant users and learn from operational feedback.
Curious, hands-on, and ownership driven.

Responsibilities

Design and develop services supporting MoM/MES use cases such as production events, quality data, and traceability.
Build manufacturing data pipelines and APIs for real-time and near‑real‑time shop-floor data.
Develop and maintain edge-deployed applications that interface with plant systems (MES, SCADA, historians, equipment data).
Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Configuration of the MOM/MES
Containerize applications using Docker and deploy using Kubernetes (on‑prem or edge environments).
Support plant deployments, validation, and basic production support.
Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the platform.