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Remote Dod Software Engineer Jobs in Ohio (NOW HIRING)

SciTec

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Ability to obtain and maintain a DoD security clearance Candidates who have any of the following ...

Booz Allen Hamilton, Inc.

Software Engineer

Dayton, OH · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0244514 Location: Dayton,OH,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end ...

Booz Allen Hamilton, Inc.

Software Engineer

Beavercreek, OH · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0242981 Location: Beavercreek,OH,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete end ...

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Remote Dod Software Engineer information

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

To thrive as a Remote DoD Software Engineer, you need strong programming skills, knowledge of secure software development practices, and a relevant degree—often with active security clearance. Familiarity with languages like Java, C++, or Python, experience with DoD-approved development environments, and certifications such as Security+ or CISSP are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for remote collaboration and adhering to strict security protocols. These skills ensure the development of secure, reliable software that meets defense standards while maintaining effective teamwork and compliance in a remote setting.

What is a Remote DoD Software Engineer?

A Remote DoD Software Engineer is a professional who develops, tests, and maintains software systems for the U.S. Department of Defense (DoD) while working from a remote location. These engineers play a critical role in creating secure and reliable applications that support military and defense operations. They must often meet strict security and technical requirements, including obtaining security clearances and following DoD-specific software development standards. Remote DoD Software Engineers collaborate with multidisciplinary teams using secure communication tools and are responsible for ensuring their work complies with government regulations and cybersecurity protocols.

What are some unique challenges faced by Remote DoD Software Engineers, and how can they be addressed?

Remote DoD Software Engineers often encounter challenges related to secure access and communication, since much of their work involves handling sensitive or classified information. Navigating stringent cybersecurity protocols, such as working within secure VPNs or using government-approved devices, can be complex and may require additional onboarding. To address these challenges, engineers should proactively communicate with IT and security teams, stay updated on compliance requirements, and leverage secure collaboration tools provided by their organization. Building strong virtual relationships with teammates and participating in regular check-ins also help maintain project momentum and cohesion.

What is the difference between Remote Dod Software Engineer vs Remote Cybersecurity Analyst?

AspectRemote Dod Software EngineerRemote Cybersecurity Analyst
Required CredentialsBachelor's in CS or related field, security clearance often preferredBachelor's in Cybersecurity, IT, or related field, security clearance often preferred
Work EnvironmentDeveloping, testing, and maintaining software for defense systems remotelyMonitoring, analyzing, and protecting systems remotely for defense agencies
Employer & Industry UsageU.S. Department of Defense, defense contractorsU.S. Department of Defense, defense contractors, cybersecurity firms

The Remote Dod Software Engineer and Remote Cybersecurity Analyst roles both require security clearances and work within defense-related industries. While the Software Engineer focuses on developing and maintaining software systems remotely, the Cybersecurity Analyst concentrates on protecting and analyzing security threats remotely. Both roles are essential in defense technology, but they differ in daily tasks and technical focus.

What are the most commonly searched types of Dod Software Engineer jobs in Ohio? The most popular types of Dod Software Engineer jobs in Ohio are:
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What job categories do people searching Remote Dod Software Engineer jobs in Ohio look for? The top searched job categories for Remote Dod Software Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Dod Software Engineer jobs? Cities in Ohio with the most Remote Dod Software Engineer job openings:
Remote Dod Software Engineer jobs near you

AI/ML Software Engineer

Frontier Technology Inc.

Dayton, OH • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

Overview
FTI Defense 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 Defense 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 security 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.

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