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Benefits:
- 401(k)
- Dental insurance
- Flexible schedule
- Health insurance
- Parental leave
- Training & development
- Vision insurance
Mid-Level Software Developer
Location: Springfield, VA
Clearance Required: Active Top Secret/Sensitive Compartmented Information (TS/SCI)
About the Role
We are seeking a Mid-Level Software Developer to help design, build, and deploy mission-focused software and AI-driven features. In this role, you will contribute directly to cloud-native applications, build secure DevSecOps pipelines, and work with Generative AI technologies alongside an active Agile Scrum team.
Key Responsibilities
- AI & Application Development: Build and modify software applications, services, and APIs, incorporating Generative AI features (LLMs, RAG, ontology-based apps) and multi-stream data pipelines.
- Cloud & Infrastructure: Assist with cloud migrations (AWS, OpenShift, Kubernetes), package microservices using Docker/Helm, and deploy applications across varied network environments.
- DevSecOps & Code Quality: Maintain clean repositories, implement efficient branching strategies, write unit/integration tests, and support security practices like code hardening and vulnerability remediation.
- Agile Collaboration: Actively participate in Scrum ceremonies, implement backlog items, help write user stories, and troubleshoot issues across cross-functional teams.
Qualifications
- Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
- U.S. Citizenship.
- Experience: 5+ years of professional software engineering experience (or 8+ years in IT in lieu of a degree).
- Education: B.S. in Computer Science, Computer Engineering, Systems Engineering, or related field.
- Core Languages: Strong professional proficiency in Python, Java, or Scala.
- DevOps & Cloud: Hands-on experience with Docker, microservices, Kubernetes/OpenShift, AWS, Git workflows, and CI/CD pipelines.
- AI & Data: Practical exposure to Generative AI tech (LLMs, RAG workflows), RESTful APIs, and data transformation/integration.
- Security & Practices: Practical knowledge of DevSecOps scanning, dependency management, and automated testing frameworks.
Desired
- Understanding of graph-based data models, ontologies, and data visualization techniques.
- Prior experience in Agile/Scrum environments and delivering technical status updates.
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