Software Engineer; Mid – Java, MBSE & Modeling Tool Integration

Quick Position Facts!

Location: Virginia Beach at our wonderful G2 Ops office and customer site.

Work Setting: In person, some remote opportunity, and/or flexible working hours, not a fully remote position.

Salary Range: $105,000 - $140,000 plus comprehensive benefits package.

Years of Industry

Experience:

5+ years of relevant experience.

Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance.

For this opportunity, we are seeking a highly motivated, team-oriented Software Engineer. This exciting position will have the chance to work on just about any aspect there is as it pertains to develop and maintain Java-based modeling tool capabilities for SysML and MBSE workflows. This role will focus on extending a Cameo Systems Modeler plugin, building and maintaining model/diagram generation logic, integrating with AI-assisted structured-output workflows, and improving the reliability of schema-driven model creation across multiple repositories.

The ideal candidate is a pragmatic Java engineer who can work comfortably in a specialized engineering domain. They should understand how structured data maps into model elements and diagrams, and how to debug issues across repository boundaries, and deliver features iteratively while maintaining technical rigor:

• Strong professional experience with Java.
• Experience designing and maintaining object-oriented systems in a production codebase.
• Experience working with JSON, parsing/serialization, and schema-driven data models.
• Ability to debug complex workflows across UI, parsing, API integration, and backend generation logic.
• Experience integrating software with REST or HTTP-based APIs.
• Ability to work effectively in evolving codebases with mixed legacy and newer patterns.
• Strong communication skills and ability to collaborate across software, systems engineering, and platform teams.
• Experience building plugins or extensions for Cameo Systems Modeler, Magic Draw, or similar modeling tools.
• Familiarity with SysML, MBSE, and model-based engineering concepts.

• Experience with semantic model generation and diagram/presentation element creation.
• Experience working with modeling tool APIs, sessions/transactions, and diagram automation.
• Familiarity with Eclipse-based plugin environments.
• Experience with JavaFX, Swing, or desktop plugin UI development.
• Experience integrating AI/LLM capabilities into engineering workflows.
• Familiarity with prompt/schema design for structured LLM output.
• Experience with internal tooling or utility libraries similar to model/query/generation helper frameworks.

Pay, benefits, training, work satisfaction, culture? At G2 Ops, you can have it all. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Here, you’re never just a payroll number or a cog in the machine; you’re part of a team that ensures every member is set up for success. Our team approach allows for each member to not only provide value with their expertise but also gives them the opportunity to cross-train in other areas in which they have an interest.

The annual salary range for this position is $105,000 and goes up to $140,000 based on your qualifications. We also offer a competitive benefits package and have fringe benefits offered throughout the year. The benefits package value ranges from $13,000 for a single employee, and up to $28,000 for an employee and their family. With company standard annual performance reviews in place, plus excellence recognition awards, your performance will be rewarded and appreciated, we promise!

At G2 Ops, we don’t just talk about AI—we use it. Our recent company-wide AI usage survey shows over 75% of our team is actively engaging with AI tools, making us a leader in real-world adoption among engineering, cybersecurity, and defense firms. Led by our Director of Operations for Production, the initiative has already identified clear, actionable ways for every role—technical and operational—to harness AI effectively.

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