Software Engineer (MBSE Plug-in Development)

G2 Ops • Virginia Beach, VA

14h • Hybrid

About The Position

G2 Ops supports mission-critical defense and technology initiatives by solving complex operational and engineering challenges. We are seeking a motivated, collaborative Software Engineer / MBSE Plug-in Development, Mid to support Java-based modeling tool capabilities, SysML model generation, and AI-assisted engineering workflows. In this role, you’ll contribute to software engineering, model-based systems engineering, and digital engineering capabilities while working alongside a team that values innovation, technical excellence, and continuous growth.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• 3+ years of professional Java development experience
• Experience designing and maintaining object-oriented systems in production codebases
• Strong proficiency with JSON parsing/serialization and schema-driven data models
• Ability to debug complex workflows across UI, parsing, API integration, and backend logic
• Experience integrating software with REST or HTTP-based APIs
• Strong communication skills and ability to collaborate across technical teams
• Ability to obtain and maintain required security clearance

Nice To Haves

• Experience building plugins for Cameo Systems Modeler, MagicDraw, or similar modeling tools
• Familiarity with SysML, MBSE, and model-based engineering concepts
• Experience with modeling tool APIs, sessions/transactions, and diagram automation
• Experience with Eclipse-based plugin environments or JavaFX/Swing UI development
• Experience integrating AI/LLM capabilities into engineering workflows
• Familiarity with prompt/schema design for structured LLM output

Responsibilities

• Develop and maintain Java-based plugin functionality for Cameo Systems Modeler / MagicDraw
• Implement SysML model generation capabilities including Block Definition Diagrams, Internal Block Diagrams, and Activity Diagrams
• Build and maintain parsers and data models for structured JSON inputs that drive model generation
• Use and extend internal utility libraries wrapping modeling APIs for semantic and presentation element creation
• Collaborate with AI engineering teams to align plugin behavior with LLM output expectations and improve robustness of AI-assisted generation workflows
• Diagnose and resolve issues across UI, parsing, API integration, and backend generation logic
• Contribute to code quality improvements, validation logic, and testing strategy across multi-repository codebase
• Support iterative feature delivery and coordinate with cross-functional teams to ensure plugin capabilities align with modeling workflows

Benefits

• 100% company-paid insurance for medical, dental, and vision for eligible employees and family members
• 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees
• 401(k) plan with discretionary employer matching
• 10 paid holidays
• Paid time off (PTO)
• Educational assistance
• Professional development opportunities
• Performance recognition programs
• Resources that support long-term career growth and work-life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level