Part-Time Software Engineer, TS/SCI Clearance, Cloud & AI

Science Applications International Corp.; Virginia (MN); On-site; USD 60,000 - 90,000; Part time

Job summary

SAIC seeks a Software Engineer (Part-Time) to support evaluation, system design, and software engineering for transitioning open source prototypes to an in-house infrastructure. The role is based in Chantilly, VA and requires an active TS/SCI clearance with polygraph.

Responsibilities include deploying web apps in cloud environments, integrating with databases via APIs, front-end work to host models, and applying AI/ML techniques to demo and transition tools. Local travel may be required.

Qualifications

• Bachelor's degree plus 9+ years experience or Master's with 7+ years or PhD/JD with 4+ years.
• Active TS/SCI clearance with polygraph is required.
• Demonstrated full stack web development with JavaScript, PHP, R, Python, NodeJs, and/or MongoDB.

Responsibilities

• Install externally developed web applications on a cloud environment infrastructure.
• Ensure web applications communicate with external and internal databases using API keys.
• Modify web applications and work independently on projects as needed.
• Provide front end development to host models and connect APIs to demo and transition tools.
• Utilize AI/ML models to integrate with front-end development.
• Local travel as needed; travel around local performance area.

Skills

JavaScript

PHP

R

Python

NodeJs

MongoDB

REST APIs

ETL

AI/ML knowledge

Education

Bachelor's degree + 9+ years

Master's degree + 7+ years

PhD/JD + 4+ years

Tools

Angular

Bootstrap

Material

jQuery

Job description

SAIC seeks a Software Engineer (Part-Time) to support evaluation, system design, and software engineering for transitioning open source prototypes to an in-house infrastructure. The role is based in Chantilly, VA and requires an active TS/SCI clearance with polygraph.

Responsibilities include deploying web apps in cloud environments, integrating with databases via APIs, front-end work to host models, and applying AI/ML techniques to demo and transition tools. Local travel may be required.