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Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Junior AI Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-time$90k - $130kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field is required.
  • Must be a U.S. citizen holding an active TS/SCI security clearance and an active Full-Scope Polygraph.
  • Requires 0–4+ years of software engineering experience.
  • Basic familiarity with PyTorch or TensorFlow.
  • Basic understanding of model evaluation techniques and foundational prompt engineering.
  • Core understanding of supervised and unsupervised learning concepts and feature engineering.
  • Practical competency in Python and fundamental scripting tools.
  • Experience building and running basic Docker images.
  • Working knowledge of Agile, Scrum, or Kanban concepts.
  • Basic familiarity with cloud platforms such as AWS or Azure.
  • Hands-on exposure to static code analysis and security scanning tools, such as SonarQube.
  • Full-time, direct W-2 employment; third-party staffing, C2C, and 1099 arrangements are not accepted.

Responsibilities

  • Assist with building and maintaining scalable machine learning data ingestion pipelines.
  • Support code development and scripting using Python and Bash.
  • Containerize application modules using Docker for deployment.
  • Perform regular unit testing and execute automated security scanning tools to ensure code health and compliance.
  • Participate in daily Agile activities, code reviews, and backlog refinement sessions.

Desired Qualifications

  • A Master's degree is preferred.
  • Experience writing automated unit tests and maintaining code repositories.
  • Cloud or technical entry certifications, such as AWS Certified Cloud Practitioner.

About the Company

Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. It combines secure software development, cybersecurity testing, incident response, research, and ML to create tools and systems that meet mission requirements, with ongoing operational support. The company differentiates itself with deep federal domain expertise and end-to-end capabilities that span development to operations for government and large enterprises. Its goal is to help intelligence and security-focused organizations leverage new technologies while keeping systems secure and resilient.

Company size
201-500
Company stage
Grant
Total funding
$1.7M
Headquarters
Herndon, VA
Founded
2009

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