Senior Software Engineer

GrvtyLaurel, MD
Hybrid

About The Position

GRVTY is seeking a Senior Software Engineer with a TS/SCI + Poly clearance to join one of our top projects in Laurel, MD. The Senior Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. The Engineer will also develop new methods for automating compliance functions and improve existing methods. Additional responsibilities include investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. The Engineer will also develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows. Telework: Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed.

Requirements

  • Active TS/SCI with Polygraph Clearance
  • 14-20 years of 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 (or 4 years of additional SWE experience may be substituted for a degree)
  • Experience with Python
  • Experience with GM Learn Exploratory Data Analysis (EDA)
  • Experience with Jira
  • Experience with Confluence
  • Experience developing in a Linux operating environment
  • Experience with Java and Scala
  • Experience with Lucene, JEXL, SQL, JSON
  • Experience with 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

Nice To Haves

  • 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

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.

Benefits

  • Competitive pay
  • Comprehensive benefits
  • Meaningful opportunities for professional growth
  • Robust health plan including medical, dental, and vision
  • Health Savings Account with company contribution
  • Annual Paid Time Off and Paid Holidays
  • Paid Parental Leave
  • 401k with generous company match
  • Training and Development Opportunities
  • Award Programs
  • Variety of Company Sponsored Events
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