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Remote Knowledge Graph Software Engineer Jobs in Alabama

Senior Software Engineer

Huntsville, AL · On-site +1

$116.80K - $154K/yr

... for Remote Weapon Station (RWS) platforms. This role focuses on the evolution of Java-based ... Working knowledge of embedded or real-time software development * Familiarity with hardware-in-the ...

... days remote Position Description: This position focuses on AI/ML and data execution within the ... knowledge graph technologies (Neo4j, Amazon Neptune, TigerGraph, or equivalent) in production ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Software Engineer ... Knowledge of scripting languages (Python, Bash) for automation * Experience with CI/CD pipelines ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong foundational knowledge of distributed systems, scalability, and backend service design ...

... Remote Sensing or a related technical field from an ABET-accredited university. * Bachelor's degree ... Security Principles: Knowledge of web security principles and DevSecOps best practices.

... Remote Sensing or a related technical field from an ABET-accredited university. * Bachelor's degree ... Security Principles: Knowledge of web security principles and DevSecOps best practices.

... Remote Sensing or a related technical field from an ABET-accredited university. * Bachelor's degree ... Security Principles: Knowledge of web security principles and DevSecOps best practices.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Senior Software Engineer/Architect

Huntsville, AL · Remote

$127.60K - $173.40K/yr

ORA_REMOTE Description SAIC is seeking a Senior Software Engineer/Architect to join the Joint Range ... Knowledge of test automation principles and best practices. * Proven ability to lead and work ...

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Remote Knowledge Graph Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Knowledge Graph Software Engineer, and why are they important?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a Remote Knowledge Graph Software Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a Remote Knowledge Graph Software Engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.
What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Alabama? For Remote Knowledge Graph Software Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Alabama look for? The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Alabama are:
What cities in Alabama are hiring for Remote Knowledge Graph Software Engineer jobs? Cities in Alabama with the most Remote Knowledge Graph Software Engineer job openings:
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

$140K - $220K/yr

Full-time

Posted 9 days ago


Job description

Overview
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 (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.
Responsibilities
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.

Education/Qualifications
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 (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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