DevSecOPS Engineering Intern

SUSE RGS • Reston, VA

4d • Remote

About The Position

RGS is seeking a highly motivated and security-focused Summer DevSecOps Engineering Intern to join our Professional Services organization. This is a hands-on, technical internship focused on DevSecOps methodologies, internal tooling development, and contributing to the success of customer engagements involving our flagship cloud-native products—Rancher, RKE2, and Harvester.

As a DevSecOps Engineering Intern in Professional Services, you will have a dual mission: to support the efficiency of the consulting team by developing internal assets and to gain real-world experience by shadowing consulting engineers and architects on customer engagements.

Requirements

• Currently pursuing a B.S. or M.S. in Computer Science, Computer Engineering, or a closely related field.
• Academic focus, concentration, or significant coursework in Cybersecurity, Information Security, or a related DevSecOps discipline.
• Demonstrated understanding of cloud native concepts: containers, Kubernetes, microservices architectures, and basic virtualization.
• Strong scripting or programming experience (Python, Go, or Bash) with an emphasis on automation and security-related tasks.
• Comfortable working in Linux environments and using CLI tools daily.
• Strong written and verbal communication skills, including the ability to document complex technical concepts clearly.

Responsibilities

• Work within the RGS lab and training environment and provide critical feedback on how to improve the onboarding/training experience both from a user experience and technical point of view.
• Shadow and collaborate with consulting engineers and architects on customer engagements, focusing on DevSecOps, cloud-native security, and infrastructure-as-code deployments.
• Design and develop internal automation scripts, tooling, and utilities to streamline and enhance Professional Services delivery and operations.
• Contribute to the creation of standardized collateral, including documentation, best practice guides, and reusable templates for secure cloud-native deployments.
• Research and develop a proof-of-concept initiative focused on integrating Generative AI (LLMs) into the DevSecOps engineering workflow, including use cases for AI assisted code generation, reports and documentation creation.
• Research and evaluate new security tools and practices within the DevSecOps pipeline for potential adoption by the consulting team.
• Reproduce and validate configuration or deployment issues in lab environments related to Rancher, RKE2, and Harvester.
• Participate in team meetings, knowledge-sharing sessions, and peer reviews of internal documentation and tooling.

What This Job Offers

• Career Level: Intern