Software Engineer – Graph Technologies

Raft
Chantilly, VA$150k – $200kPosted 9 March 2026

Job Description

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft ( https://TeamRaft.com ) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. About the role: As a Software Engineer – Graph Technologies, you will be diving deeper into the software lifecycle, taking on more complex tasks and leading smaller project initiatives. You will not only write code but also be involved in design discussions, code reviews, and mentoring Associate and Standard Engineers, helping to maintain the high standards of our organization. What we are looking for: 3+ years of hands-on experience as a software engineer Design and develop graph-based applications using Neo4j, Amazon Neptune, or similar graph databases Implement graph algorithms and analytics for complex data relationship analysis and visualization Build and maintain scalable microservices and APIs supporting Intelligence Community requirements Develop semantic data models and ontological frameworks, particularly Common Core Ontology implementations Collaborate with analysts and stakeholders to translate mission requirements into technical solutions Optimize graph queries and data structures for performance in high-security environments Participate in agile development practices including code reviews, testing, and continuous integration Support deployment and maintenance of applications in classified computing environments Bachelors degree in Computer Science, Engineering, Physics, Mathematics or a related field Graph Technology Experience - Hands-on experience with graph databases (Neo4j, Neptune, ArangoDB) and graph processing frameworks Highly preferred: Previous work supporting IC missions and familiarity with classified environments Direct experience with National Reconnaissance Office programs, data systems, or mission requirements Common Core Ontology (CCO) - Hands-on experience implementing CCO standards and semantic modeling frameworks Container Technologies - Experience with Kubernetes orchestration and Helm chart development/management Advanced Graph Skills - Experience with graph visualization tools, complex graph algorithms, or distributed graph processing Cloud Platforms - Familiarity with AWS/Azure services, particularly graph and analytics offerings Security+ or Similar - Current DoD 8570 baseline certification or equivalent Advanced Degree - Master's in Computer Science, Data Science, or related field Clearance Requirements: Active Top Secret clearance with ability to obtain and maintain SCI Preference for those with Polygraph Work Type: Onsite in Chantilly, VA Ability to work from a SCIF at least 3 days a week May require up to 25% travel Salary Range : $150,000 - $200,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education training benefits Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obses ... (truncated, view full listing at source)
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