Virginia Tech College Fair - Internship

Dark Wolf  is looking for summer interns to join us at our office in Herndon, VA. Northern Virginia is one of the fastest-growing tech hubs on the East Coast. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.

Location: Herndon, VA

Duration: June 2027 - August 2027

Type: Full-Time Internship (Paid)

Software Delivery and Cloud Internship: 

As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.

Key Responsibilities

• Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js.

• Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.

• Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.

• AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.

• Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).

Required Skills & Qualifications

• 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 Getter" attitude toward tackling complex technical challenges.

• Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members.

Preferred Experience

• 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.

Cybersecurity Academy Internship: 

Are you ready to go beyond the textbook ?

The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast.

The DWCA Internship is designed to be cyber intensive where you won’t just talk about security-you’ll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path-and give you experience to back it up.

Professional Sprints:

• Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities.
• Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments.
• Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities.
• AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.

Why DWCA?

• Real-World Impact: Work on a simulation that mirrors industry challenges
• Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches
• Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market

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)

Google Cloud Delivery Internship: 

Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO’d landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.

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

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.