MBSE Architect / Cameo Systems Modeler

Security Clearance Required

Our client is seeking an experienced Model-Based Systems Engineering (MBSE) professional to support a mission-critical defense program focused on tactical ground and space mission capabilities.

Due to the nature of the work, candidates must be able to meet program security requirements, and an active TS/SCI clearance is strongly preferred .

This opportunity can be based in either

Colorado Springs, Colorado or Huntsville, Alabama , supporting a flexible work schedule consisting of approximately 80% remote work and 20% onsite support, with occasional travel as required.

About the Opportunity

This role supports a complex system-of-systems environment that integrates a variety of commercial and government technologies into operational capabilities used by military personnel worldwide.

The team is focused on advancing Digital Engineering initiatives, improving engineering processes, and developing scalable model-based solutions that support system design, integration, modernization, sustainment, and future capability growth.

The selected individual will play a key role in establishing and enhancing MBSE standards, governance processes, and modeling best practices while supporting engineers across multiple disciplines.

This position blends systems architecture, technical leadership, engineering process improvement, mentoring, and hands‑on modeling support within a collaborative engineering environment.

• What You'll Be Doing
• MBSE Governance & Standards
• Refine and maintain MBSE modeling standards, conventions, and style guides.
• Develop processes that promote consistency, quality, and reuse across engineering models.
• Establish best practices for model organization, maintenance, and lifecycle management.
• Support model configuration management and synchronization efforts.
• Contribute to Digital Engineering strategy and implementation initiatives.
• Modeling & Architecture Support
• Provide guidance on the effective use of
• Cameo Systems Modeler (Magic Draw) and

Sys ML v1. x .

• Support development and organization of system architecture models.
• Help maintain traceability across requirements, functions, interfaces, and verification activities.
• Support collaborative modeling efforts across distributed engineering teams.
• Systems Engineering
• Collaborate with software, hardware, integration, network, and systems engineering teams.
• Support architecture development for complex system-of-systems environments.
• Assist with capturing and maintaining relationships between requirements, functions, interfaces, and verification activities.
• Support design, development, integration, testing, production, sustainment, and modernization activities.
• Team Development
• Provide coaching and guidance to systems and MBSE practitioners.
• Conduct model reviews and provide feedback on engineering artifacts.
• Share best practices for MBSE methodologies, Sys ML implementation, and Digital Engineering principles.
• Support the continued growth of MBSE capabilities across the organization.
• Required Qualifications
• Bachelor's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related technical field.
• Experience supporting Model-Based Systems Engineering (MBSE) initiatives.
• Hands‑on experience with

Cameo Systems Modeler / Magic Draw .

• Experience working within

Sys ML v1. x environments.

• Experience developing or implementing modeling standards, governance processes, or style guides.
• Strong understanding of systems architecture, requirements management, and traceability.
• Experience providing technical guidance and knowledge sharing within engineering teams.
• Strong written and verbal communication skills.
• Ability to meet program security requirements.
• Preferred Qualifications
• Active

TS/SCI Clearance .

• Experience supporting Department of Defense, Army, Intelligence Community, or mission‑focused programs.
• Experience with tactical systems, space systems, C4ISR, mission systems, or system-of-systems architectures.
• Familiarity with Digital Engineering initiatives and collaborative modeling environments.
• Experience with repository management, model configuration management, and model synchronization.
• Experience supporting geographically distributed engineering teams. Experience working within Controlled Unclassified Information (CUI) environments.
• Tools & Technologies
• Cameo Systems Modeler (Magic Draw)
• Sys ML v1. x
• MBSE Methodologies
• Digital Engineering Frameworks
• Requirements Management & Traceability
• Engineering Modeling Repositories
• Configuration Management Processes Systems Architecture & System-of-Systems Engineering

Work Arrangement

Approximately 80% Remote / 20% Onsite

Travel

As Needed

Clearance Requirement

Active TS/SCI Clearance preferred.

Job Type & Location

This is a Contract position based out of Colorado Springs, CO.

Pay and Benefits

The pay range for this position is $80.00 - $90.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment.

Benefits are subject to change and may besubject to specific elections, plan, or program terms.

• If eligible, the benefitsavailable for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
• Workplace Type

This is a hybrid position in Colorado Springs, CO.

Application Deadline

This position is anticipated to close on Aug 31, 2026.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates.

AI helps assess applications and qualifications, but final decisions are made by our hiring team.

By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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