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Systems Engineer; IRT

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Trinzic
Full Time position
Listed on 2026-10-13
Job specializations:
  • Engineering
    Systems Engineer
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 98000 - 122000 USD Yearly USD 98000.00 122000.00 YEAR
Job Description & How to Apply Below
Systems Engineer (IRT)

Belong. Connect. Grow. with K !

K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

K  is seeking a Systems Engineer to join our team on site in Chantilly, VA. TS/SCI with poly is required for consideration.

Why Join Us?

Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.

Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.

Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

This effort is in direct support of a US Space Industry Prime Partner in the Chantilly, VA area. We are looking for the self-driven, the bold, the passionate Systems Engineers who will join K  on an exciting journey of professional thrill and personal growth as the Team pursues and steps up to strategic Customer Enterprise-level challenges!

Key Responsibilities:
  • Perform on an Independent Review Teams in support of specific Major System Acquisition milestones.

  • Work with an experienced, systems engineering savvy team apprenticing and providing team continuity.

  • Under supervision, deliver foundational digital engineering (DE) approaches that ensure the engineering and MS&A processes are met.

  • Assist technical teams and leadership in the implementation of MBSE methods and techniques.

  • Assist in developing and supporting enterprise level digital engineering approaches, ensuring that models, data, and information are accessible, interconnected, and structured to support organizational goals.

  • Ensure that systems engineering and MS&A processes covered in the SOW requirements are followed.

  • Support the federated modeling approach across the enterprise and mission partners.

  • Adhere to the MBSE modeling methodology guidelines and principles established by the team.

  • Ability to communicate modeling concepts and best practices to stakeholders at varying levels.

Basic Compensation:

$98,000 - $122,000 USD annually

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

Work Environment:
  • Location: On-site

  • Travel Requirements: Minimal

  • Working Hours: Standard

Required Qualifications:
  • Must possess a current/active TS/SCI clearance with Polygraph.

  • Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 2 years of experience.

  • Foundational understanding of systems engineering principles and familiarity with Digital Engineering (DE)/Model-Based Systems Engineering (MBSE).

  • Basic understanding of data concepts and technologies such as relational databases, ontology, Unified Architecture Framework (UAF) or Systems Modeling Language (SysML).

  • Strong communication skills with the ability to collaborate effectively with teammates and stakeholders.

Desired

Qualifications:
  • Masters degree in Systems Engineering or relative field.

  • Exposure to MBSE tools or coursework (e.g., SysML) is desired

  • General awareness of digital industry trends such as Cloud/IaC, Data Analytics, Dev Sec Ops , AWS and/or Azure, Containerization/micro-services

  • Basic knowledge or academic exposure to satellite or space-based technologies

  • Familiarity with Operations Research/Systems Analysis concepts

  • Introductory knowledge of Digital Thread or Digital Twin concepts

  • Willingness to learn and grow…

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