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# M&S Software Developer

- **Company:** LMI
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $111,427.0 - $192,890.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Machine Learning, Data Logging, Reliability of Systems, Information Technology, Modeling and Simulation, Data Analytics
- **Published:** September 22, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88405047/1

## About the Role

* Bachelor's degree in Computer Science, ORSA, Data Science, or related field (or equivalent work experience).
 * 5+ years in performing complex data analytics such as building AI/ML models, or physics-based models.
 * Previous experience with modeling and simulation (M&S) tools
 * Experience with briefing and engaging with DHS customers.
 * Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
 * Ability to obtain a CBP BI clearance. You must be a U.S. citizen., * Experience supporting modeling and simulation platforms or compute-intensive applications.
 * Experience with cloud infrastructure (AWS, Azure, or GCP).
 * Current Active CBP BI clearance
 * Experience working in Agile development teams., Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

## Description

Design, implement, and maintain analytical models within our M&S capability called RAPTR.

 * Perform testing and validation of models and code to ensure accurate outputs.
 * Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action
 * Participate in client meetings to understand requirements and to brief your technical findings and analyses.
 * Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations.
 * Implement monitoring, logging, and alerting to ensure system reliability and availability.
 * Troubleshoot issues across cloud infrastructure, networks, and simulation workloads.
 * Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities.


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