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Remote Dod Software Engineer Jobs in Frederick, MD

Leidos

Senior DevSecOps Engineer

Gaithersburg, MD · Remote

$112K - $155K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Experience supporting FAA, DoD, or other Federal software development programs. * Experience ...

Xenith Solutions

GenAI Developer

Leesburg, VA · Remote

$115K - $165K/yr

Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot ... Experience working in a geographically dispersed, remote team. * Understanding of Data Science ...

Xenith Solutions LLC

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot ... Experience working in a geographically dispersed, remote team. * Understanding of Data Science ...

Corinth

COBOL Programmer

Leesburg, VA · Remote

$86K - $97K/yr

Remote Employment Type: Full-Time, Exempt Salary Range: $86,000 - $97,000 Citizenship Requirement ... Must meet DoD 8570 IAT Level II certification requirements (CCNA-Security, GSEC, Security+ CE, SSCP ...

Corinth

Mainframe DBA/COBOL Programmer

Leesburg, VA · Remote

$86K - $97K/yr

Remote Employment Type: Full-Time, Exempt Salary Range: $86,000 - $97,000 Citizenship Requirement ... Must meet DoD 8570 IAT Level II certification requirements (CCNA-Security, GSEC, Security+ CE, SSCP ...

Leidos

Lead DevSecOps Engineer

Gaithersburg, MD · Remote

$110K - $145K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Experience supporting FAA, DoD, or other Federal software development programs. * Knowledge of ...

Leidos

Systems Engineer

Gaithersburg, MD · Remote

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... As a member of a Scaled Agile software development organization, you will contribute to the ...

Leidos

Senior Systems Engineer

Gaithersburg, MD · Remote

$112K - $154K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... As a member of a Scaled Agile software development organization, you will contribute to the ...

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Showing results 21-40

All JobsDod Software Engineer JobsRemote Dod Software Engineer JobsRemote Dod Software Engineer Jobs in Frederick, MD

Remote Dod Software Engineer information

See Frederick, MD salary details

$63.1K

$146.7K

$204.3K

How much do remote dod software engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote dod software engineer in Frederick, MD is $146,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $172,000.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as a Remote DoD Software Engineer?

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 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 popular job titles related to Remote Dod Software Engineer jobs in Frederick, MD?

For Remote Dod Software Engineer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Remote Dod Software Engineer jobs in Frederick, MD look for?

The top searched job categories for Remote Dod Software Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Remote Dod Software Engineer jobs?

Cities near Frederick, MD with the most Remote Dod Software Engineer job openings:

Remote Dod Software Engineer jobs near you
Infographic showing various Remote Dod Software Engineer job openings in Frederick, MD as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $146,678 per year, or $70.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Frederick, MD • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply