What you will do in this role:

As a Knowledge Graph Software Engineer at BTI360, 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-making for 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 methods to 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 teams to 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.

Required Qualifications:

• 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 CodeBuild (preferred), Jenkins, GitLab CI, or GitHub 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.

Preferred Qualifications:

• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• Contributions to open-source libraries or community projects or personal projects
• Experience with search technologies such as OpenSearch (preferred), Elasticsearch, or Solr
• Experience working with streaming or event-driven architectures such as SNS/SQS (preferred), Kafka, Kinesis, AWS Step Functions, or Event Bridge
• Knowledge of Infrastructure as Code (e.g., Terraform) and how to leverage DevSecOps pipelines to deliver code
• Exposure to additional programming languages including shell scripting languages (e.g. Python, NodeJS, C#, Bash, PowerShell)
• Exposure to modern AI-assisted software development workflows, including agentic development frameworks and LLM tooling
• Familiarity with monitoring and observability stacks including OpenTelemetry, Splunk (preferred), Prometheus/Grafana, or CloudWatch

The base salary pay range for this role is $125,900 - $247,900. This range reflects base compensation only and does not include benefits, bonuses, or additional pay incentives associated with the opportunity.