Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret/SCI

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Public Trust/Other Required:
None

Job Family:
Software Engineering

Job Qualifications:

Skills:
DevSecOps, Generative AI, Ontology
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:

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.

Location: Company Site

US Citizenship Required

The likely salary range for this position is $124,093 - $162,150. 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.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Onsite

Work Location:
USA VA Springfield

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.