Mid-Level Software Developer

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.