MES Engineer: Real-Time Manufacturing & DevOps

ABB Inc.; Richmond (VA); On-site; USD 69,000 - 110,000; Full time

Job summary

ABB is hiring in Richmond, VA for a role within the Critical Power Product Group. You will deploy and maintain the digital platform, monitor production services, and collaborate with stakeholders to ensure SLAs are met. Onsite work in Richmond, VA; contribute to a robust DevOps CI capability.

The role emphasizes operating model deployment, platform optimization, and data-driven improvement across the Digital Platform team. Requires 3–5 years in computer/data engineering and MES expertise.

Qualifications

• 3-5 years of experience in Computer and Data science engineering.
• Experience in designing and implementing MES in discrete manufacturing with real-time focus.
• Strong knowledge of MySQL, Web/HTML, Java, C#, UI, .NET, Python, MQTT and OPC UA.
• Ability to integrate devices with MES and APIs for open source software.
• Experience in design and management of physical and cloud servers.
• Must have work authorization to work in the US for ABB.

Responsibilities

• Implement the operating model to enable efficient operations of the Digital Platform team.
• Deploy and maintain digital platform components, including integration and testing, and support.
• Monitor production applications/services and act on issues to meet SLAs.
• Develop a DevOps CI capability for platform development and integration with apps.

Skills

Computer and Data science engineering

MES design & implementation

MySQL

Web & HTML

Java

C#

UI

.NET Framework

Python

MQTT

OPC UA

MES device integration

Server design & management

Work authorization for ABB in US

Job description

ABB is hiring in Richmond, VA for a role within the Critical Power Product Group. You will deploy and maintain the digital platform, monitor production services, and collaborate with stakeholders to ensure SLAs are met. Onsite work in Richmond, VA; contribute to a robust DevOps CI capability.

The role emphasizes operating model deployment, platform optimization, and data-driven improvement across the Digital Platform team. Requires 3–5 years in computer/data engineering and MES expertise.