Software Developer, Senior

Senior AI Software Developer

If you are an experienced, collaborative self-starter with AI development experience, GDIT is the place for you. Here, you can make your career your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day. As a company, we think. We act. We deliver. There is no challenge we can't turn into opportunity. Our work depends on TS/SCI level cleared Senior AI Software Developer joining our team to support our Intelligence customer in Springfield, VA.

Job Summary: Designs, develops, evaluates, plans and tests AI features across a few software programs and applications

Job Duties:

• Integrate multiple data streams into customer system
• Complete Cloud platform migrations (between currently existing and available platforms)
• Develop AI features for existing Ontology-based software applications
• Creates sustainable software applications - work is estimated accurately, branching strategies are efficient, code repos are maintained, etc.
• Works as a member of an agile scrum team and participates in regular agile ceremonies applying scrum methodologies - daily stand up, planning, sprint reviews, demos, retrospectives.
• Implements requirements from the product backlog
• Assists in writing backlog requirements/user stories
• Utilizes a modern DevSecOps approach in building software applications
• Develop and modify applications, software, services, utilities, interfaces, and IT systems that support systems and analysts.

Skills/Qualifications: Required:

• 8+ years of experience
• Bachelor's Degree in computer science, computer engineering, systems engineering or any related field/major, or 6 additional years of experience in information technology.
• Senior-level software development experience designing, developing, and maintaining secure, scalable, and mission-focused applications.
• Strong programming experience with Python, Java, and Scala.
• Experience developing and integrating RESTful APIs, Git-based workflows, automated unit/integration/system testing, CI/CD pipelines, and modern software delivery practices.
• Hands-on experience with Docker/containerization, microservice architectures, Helm, and development container environments.
• Experience developing applications using Generative AI technologies, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and LLM-enabled workflows.
• Experience designing, deploying, and supporting cloud-native applications using AWS, OpenShift, and Kubernetes.
• Experience integrating, transforming, and managing data from multiple sources, organizations, and network environments.
• Experience deploying applications into new or complex network environments.
• Experience applying DevSecOps practices, including secure software development, code hardening, dependency/package updates, vulnerability remediation, and automated security scanning.
• Ability to troubleshoot complex software systems and collaborate across development, infrastructure, security, and mission teams.

Desired:

• Familiarity with data normalization, transformation, and visualization techniques.
• Familiarity with graph-based data models, data relationships, and advanced data structures.
• Experience working in Agile/Scrum development environments.
• Experience developing and presenting technical metrics, status reports, and project updates to internal leadership and external customers.
• Demonstrated ability and willingness to mentor junior developers and contribute to team engineering practices.