Full Stack Development Intern

Leidos•Orlando, FL

15h

About The Position

The Full Stack Development Intern will serve as a technical support for the Momentum R&D portfolio. This individual is responsible for transitioning research prototypes into scalable, cloud-native environments. The role focuses on primarily on automating the software development lifecycle, ensuring seamless code migrations to GitLab, containerizing complex application stacks, and orchestrating deployments within AWS.

Requirements

Proficiency in Python, JavaScript/TypeScript (React/Node.js), and Shell scripting.
Expert-level knowledge of GitLab (Migrations, CI/CD, Runners).
Deep experience with Docker and container orchestration (Kubernetes/EKS preferred).
Hands-on experience with AWS core services and Identity and Access Management (IAM).
Currently enrolled in a Bachelor's Degree that includes but is not limited to computer science or software engineering with a focus on Full Stack development and DevOps.
Demonstrated experience in large-scale code migration projects.
U.S. Citizenship required.

Nice To Haves

Extra consideration given to applicants with RUST Language experience.
Experience supporting research or fast-paced prototyping environments is highly desirable.
Ability to work effectively with diverse teams of researchers and developers.
Strong problem-solving skills, particularly in troubleshooting complex environment mismatches.
Commitment to technical documentation and knowledge sharing.

Responsibilities

Lead the migration of legacy and active research codebases from various sources to GitLab.
Architect and maintain robust GitLab CI/CD pipelines to automate testing, security scanning, and deployment.
Standardize version control practices across multiple R&D sub-teams.
Design and build optimized Docker/OCI-compliant containers for diverse research applications (e.g., Python-based AI models, web frontends, and data processors).
Manage container registries and ensure image security and versioning.
Implement orchestration strategies to ensure consistent environments from local dev to cloud.
Deploy and manage multi-tier applications across AWS services (EC2, EKS, Lambda, S3, RDS).
Utilize Infrastructure as Code (IaC), such as Terraform or AWS CloudFormation, to provision and manage cloud resources.
Monitor system health, performance, and cloud costs to optimize R&D resource usage.
Develop and maintain responsive web interfaces and scalable backend services to support research tooling and pilot applications.
Integrate complex research algorithms into functional, user-facing platforms.
Collaborate with researchers to refactor "research-grade" code into "production-grade" software.