Job Description

Key Responsibilities

• Design and build major components of a custom MES and the broader manufacturing systems landscape, designed to scale from one site to all operations sites
• Apply manufacturing systems standards and patterns (ISA-95, equipment/work hierarchy, genealogy, traceability) within a modern, modular, cloud-native build
• Help evaluate build-versus-buy and implement the decisions that set the foundation for systems that follow
• Take ownership of your assigned scope and deliver it end to end, working with general direction on loosely defined problems
• Grow into broader technical leadership and mentorship as the team scales

• Design, develop, test, and deploy full-stack web applications for manufacturing execution, data integration, and operational intelligence
• Build AI-native applications with intelligence embedded from the architecture up
• Develop APIs, data pipelines, and integration layers that connect business systems into a unified data architecture
• Write clean, scalable code with a focus on enterprise-scale deployment across all operations sites
• Deploy in weeks, not months, using modern development tools including AI coding assistants

• Embed directly with operations users at GDMS sites to understand workflows and define requirements firsthand
• Own your piece end to end: requirements, design, development, deployment, and support
• Translate complex manufacturing processes into working software through rapid prototyping and iterative delivery
• Build for the user, not the specification. The operator's experience matters more than the feature list.

• Build data models that capture, normalize, and flow manufacturing data into a central data warehouse
• Build integrations between enterprise systems (ERP, PLM, CMMS, MRO) and shop-floor equipment using industrial protocols (OPC-UA, MQTT) where applicable
• Eliminate shadow data by building systems that capture critical manufacturing data digitally at the point of work

• Embed AI/ML capabilities into applications: predictive quality, anomaly detection, natural language data access, autonomous decision support
• Leverage large language models and AI coding agents as core tools in the development workflow
• Explore emerging manufacturing technologies (IoT, robotics, digital twins, computer vision) for integration into the team's roadmap

• Partner with Manufacturing, Supply Chain, Quality, Facilities, EH&S, Government Property, and all Operations personnel across multiple sites
• Work closely with IT infrastructure teams on cloud deployment, security compliance, and DevSecOps practices
• Communicate technical concepts clearly to non-technical stakeholders

• An exciting career path with opportunities for continuous learning and development.
• Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
• Flexible schedules with every other Friday off work, if desired (9/80 schedule)
• Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
• See more at gdmissionsystems.com/careers/why-work-for-us/benefits