> Markdown version of [/jobs/ext/2710552-knowledge-graph-software-engineer](https://www.wearedevelopers.com/jobs/ext/2710552-knowledge-graph-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Knowledge Graph Software Engineer - **Company:** BTI360 INC. - **Location:** Herndon, United States - **Salary:** $125,900.0 - $247,900.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, C Sharp (Programming Language), Cloud Computing, Distributed Systems, Elasticsearch, Github, Graph Database, Monitoring of Systems, Identity and Access Management, Information Extraction, Junit, Python (Programming Language), Neo4j, Named Entity Recognition, Node.Js, Object-Oriented Software Development, Windows PowerShell, Mockito, Prometheus, Search Technologies, Shell Script, Software Engineering, Apache Solr, Data Streaming, Large Language Models, Grafana, Spring-boot, Backend, Git, Knowledge Representation, Event Driven Architecture, Gitlab-ci, Apache Kafka, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Splunk, Software Version Control, Devsecops, Jenkins, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/knowledge-graph-software-engineer-clearance-required-bti360-website-8629362 ## About the Role BTI360 is seeking an Knowledge Graph Software Engineer who is passionate about transforming raw data into meaningful insights that drive strategic decision-making. In this role, you'll work closely with our engineers and mission teams to tackle complex business problems using emerging AI technologies - specifically by extracting and linking critical entities to build and curate scalable graph databases and knowledge bases. This role sits at the intersection of backend software engineering, knowledge representation, and applied AI., * 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. Desired skills: * 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 ## Description * 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)