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Booz Allen

Builds AI and cyber systems for the US government

Full Stack Modeling and Simulation Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeColorado Springs, CO, USA$69.3k - $158k /yrIn-person

About the Job

Requirements

  • At least 5 years of experience designing, developing, implementing, and maintaining software applications using Agile development methodologies.
  • At least 5 years of software development experience using front-end and back-end programming languages, frameworks, or web development technologies.
  • At least 3 years of experience developing web-based applications, dashboards, user interfaces, or decision-support tools.
  • At least 3 years of experience developing APIs, application services, data pipelines, or integrations between disparate systems.
  • Experience developing applications using a programming language.
  • Experience designing and implementing data integration workflows to ingest, transform, process, and manage structured or unstructured data.
  • Experience troubleshooting application functionality, software integration, or system interoperability issues.
  • Experience collaborating with cross-functional teams to translate stakeholder requirements into functional software solutions.
  • An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required.
  • A bachelor's degree is required.
  • Candidates must complete the required skills assessment and meet the minimum proficiency threshold to continue in the hiring process.

Responsibilities

  • Design, develop, configure, and maintain web-based exercise-management applications, dashboards, and decision-support tools for exercise control, Master Scenario Events List (MSEL) management, inject tracking, white-cell coordination, assessment, and after-action review.
  • Develop operator-facing data views, workflow tools, and user interfaces that present simulation and exercise data in operationally relevant formats for scenario management, training-audience interaction, and assessment.
  • Develop and maintain application services, application programming interfaces, adapters, and front-end integrations to ingest, display, and manage simulation outputs, exercise data, and approved external-system data.
  • Troubleshoot application functionality, data-integration issues, and operational-display discrepancies during test and exercise events to ensure reliable system performance and data accessibility.
  • Design, develop, and maintain scalable data flows and pipelines using Palantir Foundry and other applicable technologies to enable data integration, transformation, and accessibility across modeling and simulation platforms and operational systems.
  • Develop machine-to-machine interfaces, support data federation, and implement scalable data architectures that improve interoperability and enable automated data exchanges between disparate systems.
  • Collaborate with modeling and simulation planners, developers, and operational stakeholders to translate mission requirements into scalable technical solutions.
  • Leverage emerging technologies, including artificial intelligence and machine learning, to improve automation, analytical capabilities, and operational decision support.

Desired Qualifications

  • Experience developing applications supporting military exercise control, MSEL management, scenario execution, inject tracking, white-cell coordination, assessment, or after-action review.
  • Experience developing operationally relevant user interfaces, workflow tools, dashboards, or data visualizations supporting military operations and exercise execution.
  • Experience using Palantir Foundry to develop data pipelines, transformations, applications, or scalable data architectures.
  • Experience developing machine-to-machine interfaces, APIs, adapters, or automated data exchanges between modeling and simulation platforms and operational systems.
  • Experience with front-end and back-end development frameworks, including React, Angular, Node.js, .NET, or similar technologies.
  • Experience integrating artificial intelligence and machine-learning capabilities into applications, data architectures, analytical tools, or automated workflows.
  • Experience with distributed data technologies, ETL/ELT workflows, streaming applications, or enterprise data platforms, including Kafka, Spark, or Databricks.
  • Experience with automated software testing, continuous integration and continuous delivery (CI/CD), version control, or DevSecOps practices.
  • Knowledge of Department of Defense modeling and simulation, joint space operations, command-and-control systems, or military exercise architectures.
  • Experience developing and integrating applications within classified computing environments.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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