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# Principal-Level Software Engineer (Java, Python)

- **Company:** IDS International
- **Location:** Annapolis Junction, MD, United States
- **Salary:** $155,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Business Analytics Applications, Confluence, JIRA, Big Data, MapReduce, Intrusion Detection Systems, Python (Programming Language), Machine Learning, Software Engineering, Data Streaming, Jupyter Notebook, Large Language Models, Gitlab, Pyspark
- **Published:** July 16, 2026
- **Apply:** https://www.juju.com/job/00000000ggph3l

## About the Role

* Bachelor's degree with eleven (11) years of relevant experience, or equivalent

 * Strong experience with Jupyter Notebooks, Java MapReduce, and Python PySpark

 * Strong experience with statistical analysis and machine learning fundamentals

 * Strong experience with customer tools, architecture, data flow, and big-data environments

 * Proficiency with Jira, Confluence, and GitLab

 * Experience working in Agile development environments

 * Experience with end-to-end software development processes (requirements, design, implementation, testing, integration, deployment, and maintenance)

 * Experience with data science, Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs)

 * Active TS/SCI with Polygraph

## Description

IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today's greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients., Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements., IDS is seeking a Principal-Level Software Engineer to create custom analytics that perform at scale. The engineer will work closely with data scientists and end users to develop analytic tools that support discovery and tradecraft around critical global challenges and operationalize data science within customer environments.


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