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Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Intern

Cloud EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Herndon, VA, USANo salary listed

About the Job

Requirements

  • Be currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida.
  • Have foundational knowledge of at least one major programming language; Python is preferred for AI/Data tracks.
  • Have a basic understanding of how cybersecurity protects systems and data, including threats, risks, and why security matters.

Responsibilities

  • Design, develop, and test software features using languages such as Python, Java, or Node.js.
  • Assist in deploying applications to cloud environments such as AWS, Azure, or Google Cloud Platform, and manage continuous integration and continuous delivery pipelines to automate software delivery.
  • Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.
  • Support integration of generative artificial intelligence and large language models into existing workflows through prompt engineering and model fine-tuning.
  • Participate in daily stand-ups, sprint planning, and retrospectives as part of the software development life cycle.
  • Identify and exploit vulnerabilities through penetration testing and offensive security activities.
  • Learn to architect and secure cloud environments through cyber engineering work.
  • Familiarize yourself with authorization package components through hands-on risk management and compliance activities.
  • Analyze the impact of emerging technologies on modern cyber engineering.
  • Work on a simulation that mirrors industry challenges.
  • Build and extend the Secure Cloud Landing Zone codebase, which automates the process of delivering an authorized cloud solution from cloud organization to application.
  • Develop cloud-native solutions on Google Cloud using the Secure Cloud Landing Zone for Defense and National Security mission use cases.

Desired Qualifications

  • Familiarity with containerization tools such as Docker or Kubernetes.
  • Knowledge of SQL and NoSQL databases.
  • Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain.
  • Previous project work involving cloud-native architecture.
  • Willingness to learn and apply knowledge.
  • Ability to communicate and collaborate with teammates and leadership.
  • Strong problem-solving and analytical skills with attention to detail.

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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