2026 Internship - System & Servers Group

Johns Hopkins Applied Physics Laboratory•Laurel, MD

9d•$23 - $48

About The Position

Are you interested in learning how modern cloud, data, identity, and security systems are built, operated, and improved in real-world enterprise environments? Are you curious about how AI-assisted tools and automation can be applied to cloud platforms, cybersecurity, and operational workflows? Do you enjoy learning new technologies, experimenting, and working alongside experienced engineers? If you are pursuing a degree in Computer Science, Computer Engineering, Cybersecurity, Information Management, Data Science, Engineering, or a related technical field, and want hands-on exposure to cloud systems, identity and access management (IAM), cybersecurity, data analytics, and AI-assisted automation, we’d love to have you join our team. We are seeking interns to join our group to support a broad range of technical initiatives, including cloud migration efforts, system integration, and infrastructure tooling, identity and access management, security operations, data analysis, and AI-assisted automation. Interns will contribute to proof-of-concept development, testing, analysis, and documentation efforts that support both business and engineering applications across the organization. As part of a highly collaborative, multi-disciplinary team, you will work alongside cloud engineers, IAM and security specialists, data engineers, and AI-focused teammates. You will gain hands-on experience with software implementation, exposure to identity lifecycle management, authentication and authorization workflows, data analysis and visualization, automated reporting, compliance-related documentation and reporting, and AI-assisted insights. Interns may also help prototype and document solutions that improve operational efficiency, security posture, and system reliability. We strive to foster a supportive environment that emphasizes mentorship, curiosity, and autonomy, while providing meaningful exposure to real-world technical challenges.

Requirements

Are pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Cybersecurity, Information Assurance, Information Management, Data Science, Engineering, or a related technical field.
Have a minimum GPA of 3.0 on a 4.0 scale.
Have foundational experience with programming or scripting (such as Python, Java, or similar) through coursework, projects, or personal learning.
Have an interest in cloud technologies, cybersecurity, identity systems, data analytics, or AI, and are eager to learn across multiple technical domains.
Are a quick learner who enjoys problem-solving, experimentation, and working in a collaborative environment.
To access APL’s facilities and networks, U.S. Citizenship or permanent resident status is required, subject to applicable laws.

Nice To Haves

Have completed coursework or projects related to cloud computing, application development, system integration, data engineering, or cybersecurity.
Have familiarity with or exposure to identity and access management (IAM) concepts or tools such as Active Directory and enterprise IAM platforms such as Okta, RSA, Duo, or similar tools.
Have experience or strong interest in AI/ML concepts, Generative AI tools, or Large Language Models (LLMs), automation, Power BI or data-driven analytics.
Have worked with or are interested in security monitoring, identity lifecycle management, governance, authentication flows, or compliance-related systems.
Enjoy documenting your work, sharing learnings, and presenting ideas or findings to technical teammates.
Thrive in environments where priorities may evolve and enjoy contributing across multiple technical focus areas.

Responsibilities

Contribute to proof-of-concept development
Testing
Analysis
Documentation efforts that support both business and engineering applications across the organization
Prototype and document solutions that improve operational efficiency, security posture, and system reliability