Benefits:

401(k)

Dental insurance

Flexible schedule

Health insurance

Paid time off

Parental leave

Training & development

Vision insurance

Senior Software Developer

Location: Springfield, VA

Clearance Required: Active Top Secret/Sensitive Compartmented Information (TS/SCI)

About the Role

We are seeking a Senior Software Developer with deep AI expertise to design, build, and scale mission-focused applications. In this role, you will lead the integration of Generative AI workflows, data pipelines, and cloud-native DevSecOps architectures within an Agile Scrum environment.

Key Responsibilities

AI & Feature Engineering: Design and deploy Generative AI features (LLMs, RAG, ontology-based applications) and integrate multi-stream data pipelines.

Cloud & Modern Infrastructure: Lead cloud platform migrations (AWS, OpenShift, Kubernetes), implement microservices with Docker/Helm, and ensure secure deployment across complex networks.

Full-Lifecycle Development: Maintain robust CI/CD pipelines, practice DevSecOps (code hardening, vulnerability remediation, automated testing), and write clean, maintainable code using Python, Java, or Scala.

Agile Execution & Leadership: Active participation in Scrum ceremonies, refine user stories, maintain repositories, and mentor junior developers.

Qualifications

Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.

U.S. Citizenship.

Experience: 8+ years of software engineering experience (or 14+ years in IT in lieu of a degree).

Education: B.S. in Computer Science, Computer Engineering, Systems Engineering, or related field.

Core Languages: Strong hands-on proficiency with Python, Java, and Scala.

AI & Data: Direct experience building LLM-enabled workflows, RAG systems, RESTful APIs, and managing complex data transformations.

DevOps & Cloud: Demonstrated experience with Docker, Kubernetes/OpenShift, AWS, Git workflows, CI/CD, and DevSecOps security scanning.

Collaboration: Strong troubleshooting skills with a track record of cross-functional team collaboration and technical communication.

Desired

Experience with graph-based data models, ontologies, and data visualization.

Proven experience presenting technical metrics to stakeholders and mentoring junior engineers.