Virginia Tech College Fair - Internship

Dark Wolf Solutions•Herndon, VA

10d•Onsite

About The Position

Dark Wolf is seeking summer interns to join their team in Herndon, VA. This is a full-time, paid internship opportunity running from June 2027 to August 2027. Interns will be part of a community with access to networking events and professional development workshops, contributing to various areas including Software Development, Google Cloud Delivery, Data & AI, Cybersecurity, and Mission Enablement. The internships are designed to provide hands-on experience, allowing interns to actively contribute to production-level code and real-world projects.

Requirements

Current Enrollment: 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.
Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).
Problem Solving: Strong analytical skills and a "Go Gator" attitude toward tackling complex technical challenges.
Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members.
Desired Majors: Cybersecurity, Information Security, Computer Science, Information Technology, Information Systems
Desired Skillsets: Willingness to learn and apply knowledge, Comfortable communicating and collaborating with teammates and leadership, Strong problem-solving and analytical skills with attention to detail, Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)
Skillsets: Computer Science, Computer Engineering Majors, Application Development, Cloud Infrastructure Engineering, Developing Zero Trust Cloud Native Apps/Solutions on Google Cloud, Cybersecurity, Cloud GRC, Cloud Native Policy as Code, SecOps

Nice To Haves

Familiarity with containerization tools like 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.

Responsibilities

Design, develop, and test features using languages such as Python, Java, or Node.js.
Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.
Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.
Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.
Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).
Navigate the complexities of cybersecurity through Risk Management, Penetration Testing, and Cyber Engineering.
Work on a simulation that mirrors industry challenges in cybersecurity.
Learn directly from professionals who serve as dedicated day-to-day coaches.
Build and extend Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution.
Build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.