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Overnight Knowledge Graph Software Engineer Jobs in Raleigh, NC

AI/ML Software Engineer

Durham, NC · On-site +1

$140K - $220K/yr

Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. * Knowledge of ... Bachelor's degree in Computer Science, Software Engineering, or a related technical field. * Active ...

... of software delivery, moving us from a reactive to a proactive engineering culture. • You will ... for knowledge graph implementation alongside vector search Company : Pennymac is a home loan ...

Software Engineer II

Cary, NC

$101.50K - $188.50K/yr

... programming skills and practical C++ experience ... Knowledge of graph algorithms and computational geometry Python familiarity and EDA domain ...

Principal Engineer, AI Platform

Cary, NC · On-site

$125.10K - $167.70K/yr

Centralized AI Knowledge Base - org-wide memory plane with knowledge graph, deductive reasoning ... Roost - cryptographically signed software distribution and the Claude Code plugin marketplace This ...

Senior AI Engineer

Durham, NC · Hybrid

$111K - $146.30K/yr

HCL Technologies Limited HCLTech is seeking a highly motivated Senior Software Engineer to join an ... graph databases, and GenAI (LLM/RAG) concepts to improve how software is designed, built, and ...

... AND KNOWLEDGE: * Typically requires a Bachelor's degree in a relevant degree or equivalent ... Experience engineering software in a service-oriented architecture * Strong analytical and problem ...

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Showing results 1-20

Overnight Knowledge Graph Software Engineer information

See Raleigh, NC salary details

$61.7K

$143.4K

$199.8K

How much do overnight knowledge graph software engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for overnight knowledge graph software engineer in Raleigh, NC is $143,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $168,200.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Knowledge Graph Software Engineer vs Data Engineer?

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, tech, healthcare, and data-driven industries

The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Raleigh, NC? The most popular types of Knowledge Graph Software Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Overnight Knowledge Graph Software Engineer jobs? Cities near Raleigh, NC with the most Overnight Knowledge Graph Software Engineer job openings:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Raleigh, NC • Remote

$140K - $220K/yr

Full-time

Posted 9 days ago


Job description

Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.


Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense/Department of War (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4–IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate’s residence location, qualifications & experience.

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