Full Stack Developer

General Dynamics Information Technology

4d•Remote

About The Position

Transform technology into opportunity as a Full Stack Developer. You will be responsible for designing, building, and deploying enterprise-grade applications that integrate AI, data services, and people–AI teaming workflows across the company. MEANINGFUL WORK AND PERSONAL IMPACT As a Full Stack Developer, the work you’ll do at GDIT will be impactful to the mission. Design, develop, and maintain full stack enterprise applications and integration layers connecting data and model services, AI agents, and people–AI teaming workflows Responsibly use AI tools daily in the software development lifecycle, from design and coding to testing and deployment, to improve productivity, quality, and innovation Implement DevOps, CI/CD, and observability practices to ensure reliability, performance, and continuous delivery in production-grade cloud environments Collaborate with cross-functional teams, including business stakeholders, data and AI engineers, and project managers to translate business requirements into intuitive, AI-enabled applications Mentor and provide technical guidance to other Developers; Foster a culture of continuous learning and improvement WHAT YOU’LL NEED TO SUCCEED Bring your engineering expertise along with a drive for innovation to GDIT. The Full Stack Developer must have: Education: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related field Experience: 5+ years of experience in full stack development, with a proven record of developing and deploying enterprise-scale systems Security clearance level: None Role requirements: Proficiency in programming languages such as JavaScript/TypeScript or Python, and front-end frameworks like React, Next.js, or Angular. Strong understanding of database technologies, such as SQL, NoSQL, and vector database. Proficiency in back-end development with Node.js, Python FastAPI, or similar. Experience in leveraging and validating AI-generated content in the software development lifecycle. Experience with cloud computing platforms and services such as Azure (preferred), OCI, AWS, or Google Cloud. Experience with DevOps practices, including containerization, CI/CD, and automated testing. Demonstrated ability to lead other developers. Excellent communication and collaboration skills. Preferred Skills and Abilities: Master’s Degree preferred. Relevant certifications and experience in Agentic AI applications are a plus. Location: Remote US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation. The likely salary range for this position is $148,750 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Requirements

Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related field
5+ years of experience in full stack development, with a proven record of developing and deploying enterprise-scale systems
Proficiency in programming languages such as JavaScript/TypeScript or Python, and front-end frameworks like React, Next.js, or Angular.
Strong understanding of database technologies, such as SQL, NoSQL, and vector database.
Proficiency in back-end development with Node.js, Python FastAPI, or similar.
Experience in leveraging and validating AI-generated content in the software development lifecycle.
Experience with cloud computing platforms and services such as Azure (preferred), OCI, AWS, or Google Cloud.
Experience with DevOps practices, including containerization, CI/CD, and automated testing.
Demonstrated ability to lead other developers.
Excellent communication and collaboration skills.

Nice To Haves

Master’s Degree preferred.
Relevant certifications and experience in Agentic AI applications are a plus.

Responsibilities

Design, develop, and maintain full stack enterprise applications and integration layers connecting data and model services, AI agents, and people–AI teaming workflows
Responsibly use AI tools daily in the software development lifecycle, from design and coding to testing and deployment, to improve productivity, quality, and innovation
Implement DevOps, CI/CD, and observability practices to ensure reliability, performance, and continuous delivery in production-grade cloud environments
Collaborate with cross-functional teams, including business stakeholders, data and AI engineers, and project managers to translate business requirements into intuitive, AI-enabled applications
Mentor and provide technical guidance to other Developers
Foster a culture of continuous learning and improvement