Graph Software Engineer - Clearance Required

About the Team

Here at BTI
360, we’ve built a culture that’s passionate about developing software engineers. Software doesn’t build itself. People  fact, teams of people do.

That’s why our primary focus is on developing better craftsmen, better teammates, and better technical leaders.

By putting people first, we’re not just giving our teammates more opportunities to grow, we’re also raising the bar of the software we ship. BTI
360 previously has been voted 10 years in a row as a TOP Place to Work by the Washington Business Journal.

As a Knowledge Graph Software Engineer at BTI
360, you will:

• Lead end-to-end knowledge graph and knowledge base development efforts from problem definition to production, designing pipelines that extract, normalize, link, and organize information into scalable graph-based systems.
• Design and evaluate extraction and resolution workflows using sound methodologies and fit-for-purpose metrics to assess entity extraction, linking, relationship quality, and overall knowledge base completeness and accuracy.
• Translate business requirements into quantitative problems and communicate technical findings to both technical and non-technical stakeholders through reports, presentations, and direct customer engagement.
• Drive technical decision-makingfor schema design, ontology alignment, extraction approaches, and graph architecture based on mission needs, data quality, and long-term maintainability.
• Stay current with advances in knowledge representation and information extraction and introduce practical techniques, tools, and frameworks that improve graph construction, curation, and analytic value.
• Apply analytical and statistical methodsto validate extracted insights, measure data quality, and support confident decision-making from structured and unstructured sources.
• Develop reports and whitepapers that evaluate solution alternatives based on impact, cost, technical feasibility, and alignment with strategic goals.
• Collaborate across teamsto align on strategy, provide data science expertise, and contribute to proposals and strategic initiatives.
• Mentor junior data scientists by providing technical guidance, defining project direction, and sharing best practices in graph-oriented data modeling, extraction workflows, and knowledge base stewardship.

• Active Security Clearance (Secret or higher) or the ability to obtain one
• Hands-on experience with graph databases such as Amazon Neptune, Neo4j, or related graph technologies.
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS Code Build (preferred), Jenkins, Git Lab CI, or Git Hub Actions
• Experience designing and implementing scalable, maintainable, and OOP based software in a containerized cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking.
• Experience developing backend services using Java and the Spring/Spring Boot framework (or similar relevant Java framework)
• Experience with testing frameworks such as Junit (preferred), Mockito, or Spring Runner
• Familiarity with API standards such as REST and HTTP, message-driven architectures, persistent storage layers, and distributed systems
• Effective written and verbal communication skills necessary to perform job duties and collaborate with team members
• Candidates must maintain a primary residence within a two hour drive of Herndon, VA to support onsite collaboration as needed.

• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), Cloud Watch, or ELK/EFK
• Contributions to open-source libraries or community projects or personal projects
• Experience with search technologies such as Open…