Software Engineer 2

TAP Engineering LLC

$185K — $218K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance with Full Scope Polygraph
  • DoD 8570 IAT II certification
  • Proficient in Python and familiarity with GM Learn
  • Experienced in exploratory data analysis (EDA)
  • Proficient in developing in a Linux environment
  • Familiar with version control using Git/GitLab or Bitbucket/Stash
  • Strong analytical and problem-solving skills

Responsibilities

  • Develop and enhance analytics and automation software solutions
  • Design and implement machine learning models
  • Conduct exploratory data analysis and model evaluation
  • Research and test emerging ML/AI technologies
  • Monitor and maintain deployed machine learning models
  • Build and manage data workflows in Linux
  • Collaborate with stakeholders to turn requirements into tech solutions

Benefits

  • 15-25 days paid time off annually plus 11 paid holidays
  • Up to 15% employer contribution to a 401(k)
  • Free medical coverage for employees
  • Employer-paid dental and vision plans
  • Employer-paid life and disability insurance
  • Up to $36,000 annual tuition reimbursement
  • Comprehensive employee assistance programs and wellness incentives
  • Performance-based merit increases and bonuses
Full Job Description
Software Engineer
Location: Annapolis Junction, Maryland
Category: Technical
Clearance Requirement: Active TS/SCI with Polygraph
Education Requirement: B.S. in technicaldiscipline
Experience Requirement: A degree in a related field and 14+ years of experience or 18+ years of experience without a degree
Compensation Range: $185,000-$218,000
Position Overview

TAP Engineering is seeking a Software Engineer to develop, enhance, and prototype analytics and automation solutions that modernize compliance and business processes. You'll work at the intersection of software engineering, data science, and machine learning to develop new capabilities, evaluate emerging technologies, and turn research concepts into practical solutions.
Key Responsibilities
  • Develop and enhance analytics, automation, and compliance-focused software solutions
  • Design and implement machine learning models and data-driven approaches to improve business and compliance processes
  • Conduct exploratory data analysis (EDA), feature development, and model evaluation
  • Research, integrate, and test emerging ML/AI technologies and proof-of-concept solutions
  • Develop, deploy, and monitor machine learning models, metrics, data flows, and supporting tools
  • Build and maintain data processing and analytics workflows in Linux environments
  • Develop software using Python, Java, and/or Scala
  • Work with structured and unstructured data using technologies such as SQL, JSON, Lucene, and JEXL
  • Apply machine learning techniques including Random Forest and other classification and predictive models
  • Collaborate with data scientists, software engineers, and mission stakeholders to translate requirements into technical solutions
  • Use version control, development, and collaboration tools to manage code and project workflows
  • Create and maintain technical documentation and review existing documentation
  • Ensure solutions align with applicable agency compliance standards, policies, and systems

Required Qualifications
  • Active TS/SCI clearance with Full Scope Polygraph (most recent poly within the last 7 years)
  • DoD 8570 IAT II certification
  • Experience with Python
  • Experience with GM Learn
  • Experience conducting exploratory data analysis (EDA)
  • Experience developing in a Linux environment
  • Experience with Jira and Confluence
  • Experience building and monitoring machine learning models
  • Experience with machine learning feature development, including Random Forest
  • Experience with Scikit-learn
  • Experience with Jupyter Notebooks
  • Experience with Java and/or Scala
  • Experience with SQL, JSON, Lucene, and/or JEXL
  • Experience with Git/GitLab and/or Bitbucket/Stash
  • Familiarity with ML data processing and distributed computing technologies such as Ghostmachine (Map/Reduce) and/or Spark
  • Strong documentation, analytical, and problem-solving skills

Preferred Qualifications
  • Background in data science, machine learning, or a related technical discipline
  • Experience implementing ML systems in production environments
  • Experience with AWS
  • Experience with Spark
  • Experience with Large Language Models (LLMs) or Agentic AI
  • Experience with additional machine learning models and techniques
  • Familiarity with agency compliance standards, policies, and corporate systems


Benefits Overview
TAP Engineering offers a comprehensive and competitive benefits package, including:
  • Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose)
  • Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing
  • Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents
  • Dental & Vision: Employer-paid plans with optional enhancements
  • Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability
  • Flexible Spending Accounts: Healthcare and dependent care FSAs
  • Tuition Reimbursement: Up to $36,000 per year for approved coursework
  • Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support
  • Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses

Clearance Requirement
This position requires the ability to obtain and maintain a Top Secret/SCI security clearance with Full Scope Polygraph, based on a current Single Scope Background Investigation (SSBI/SBI). Clearance and polygraph processing will be completed by the U.S. Government. Factors considered for U.S. Government security clearance eligibility include, but are not limited to:
  • U.S. citizenship
  • Favorable criminal history review
  • Education verification
  • Drug and substance use review
  • Credit history review
  • Subject interview

Additional Information
By submitting your resume for this position, you acknowledge and agree that TAP Engineering may share your resume and related application materials with its subsidiaries and affiliated companies for consideration for other available positions.

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