Creighton University College Fair - Internship

Dark Wolf Solutions•Omaha, NE

3d•Onsite

About The Position

Dark Wolf is seeking summer interns to join their office in Omaha, NE. Interns will become part of a community with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, which spans multiple areas including Software Development, Google Cloud Delivery, Data & AI, Cybersecurity, and Mission Enablement. The internship is a full-time, paid position running from June 2027 to August 2027.

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.
Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).
Strong analytical skills and a "Go Getter" attitude toward tackling complex technical challenges.
Ability to clearly communicate technical concepts to both technical and non-technical team members.
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).
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.
Desired Majors: Cybersecurity, Information Security, Computer Science, Information Technology, Information Systems

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).
Adopt an adversarial perspective to identify and exploit critical vulnerabilities.
Learn to architect and secure cloud environments.
Familiarize with the components of authorization packages through hands-on development activities.
Analyze the impact of emerging technologies on modern cyber engineering.
Build and extend Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app.
Build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.