Software Engineer II/III

About the role

Reflexive Concepts is seeking a skilled Software Engineer II/III to join our team. This position is a flexible labor category and may be filled at the Software Engineer II or Software Engineer III level.

Responsibilities

• Develop, enhance, and prototype compliance and business processing analytics and tools.
• Develop new methods for automating compliance functions and improve existing methods.
• Investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof‑of‑concepts in the RD environment.
• Develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.

Requirements

• Active TS/SCI with Full Scope Polygraph clearance.

Qualifications

• Software Engineer II: Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity.
• Software Engineer III: Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university.
• Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Skills

Must Have Skills

• Experience with Python
• Experience with GM Learn
• Exploratory Data Analysis (EDA)
• Experience with Jira
• Experience with Confluence
• Experience developing in a Linux operating environment

Required Skills

• Experience with Java and Scala
• Experience with Lucene, JEXL, SQL, JSON
• Random Forest and ability to do feature development for Random Forest
• Experience with Machine Learning Model building and monitoring
• Experience with Ghostmachine (Map/Reduce)
• Experience with Jupyter Notebooks
• Experience with IntelliJ and/or Eclipse
• Experience with Git/Gitlab and/or Stash/Bitbucket
• Experience with Scikit-learn
• Agency Compliance standards, policies, and authorities
• Experience with Agency corporate systems
• Experience with documentation and reviewing documentation

Desired Skills

• Data Science skills/background
• Experience with AWS
• Experience implementing ML systems
• Experience with Spark
• Agentic AI
• Large Language Models (LLM)
• Machine Learning Feature Development
• Other Machine Learning models and techniques