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BTI360

Software development for federal big data

Knowledge Graph Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeHerndon, VA, USA

About the Job

Requirements

  • Hands-on experience with graph databases such as Amazon Neptune, Neo4j, or related graph technologies.
  • Experience with source control such as Git and CI/CD pipeline tools such as Jenkins, GitLab CI, or GitHub Actions; AWS CodeBuild is preferred.
  • Experience designing and implementing scalable, maintainable, object-oriented software in a containerized cloud environment, preferably AWS, using foundational computing, identity management, and networking services.
  • Experience developing backend services using Java and the Spring or Spring Boot framework, or a similar relevant Java framework.
  • Experience with testing frameworks such as Mockito or Spring Runner; JUnit is preferred.
  • Familiarity with REST and HTTP API standards, 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.
  • Must maintain a primary residence within a two-hour drive of Herndon, Virginia, to support onsite collaboration as needed.

Responsibilities

  • Lead end-to-end knowledge graph and knowledge base development 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 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 evaluating 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.

Desired Qualifications

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

About the Company

BTI360

Software development for federal big data

BTI360 develops big data software solutions for federal government clients, focusing on distributed search, machine learning, and cloud engineering. Their products help mission users spend less time sifting through content and more time deriving insights, delivered through custom software that leverages scalable data processing and analytics. The company differentiates itself with a tight-knit, open culture that prioritizes investing in people—through code katas, targeted trainings, and conferences—and by empowering engineers to lead ideas. Its goal is to attract top engineers, invest in their growth, and enable them to create lasting, impactful solutions for public sector customers.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Ashburn, VA
Founded
2004

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