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Remote Software Engineer Secret Clearance Jobs (NOW HIRING)

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Minimum Security Clearance * Must be eligible and pass security screening to obtain DoD Top Secret ...

DevSecOps Engineer provide oversight to changes in hardware, software, or network configuration and ... Active and current Secret clearance. * Hands-on experience developing and maintaining pipelines in ...

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Remote Software Engineer Secret Clearance information

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$63.5K

$147.5K

$205.5K

How much do remote software engineer secret clearance jobs pay per year?

As of May 31, 2026, the average yearly pay for remote software engineer secret clearance in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Software Engineer with Secret Clearance, you need strong programming skills (such as Java, Python, or C++), a relevant degree in computer science or engineering, and active Secret clearance. Familiarity with secure coding practices, version control systems like Git, and government-standard development tools is typically required. Strong problem-solving abilities, self-motivation, and effective written communication are essential soft skills for remote and security-focused work. These skills and qualifications ensure secure, high-quality software development while maintaining compliance with government standards and facilitating collaboration in a remote environment.

What are some unique challenges faced by Remote Software Engineers working with Secret Clearance, and how can they be managed?

Remote Software Engineers with Secret Clearance often face challenges related to secure communication, limited access to certain resources outside of approved environments, and strict adherence to security protocols. Collaboration may require using specialized, secure platforms and sometimes working asynchronously due to security checks and restricted channels. To manage these challenges, it's important to maintain strong organizational skills, stay up-to-date on security requirements, and foster clear communication with team members and security officers. Regular training and proactive planning can also help ensure compliance and smooth project delivery.

What is a Remote Software Engineer with Secret Clearance?

A Remote Software Engineer with Secret Clearance is a software developer who works from a remote location, such as their home, and is authorized to access classified information up to the 'Secret' level as defined by the U.S. government. These engineers typically work on projects for government agencies or defense contractors that require handling sensitive data. Obtaining Secret Clearance involves a thorough background check and is essential for ensuring national security. In addition to software development skills, these professionals must adhere to strict security protocols and maintain confidentiality at all times.

What is the difference between Remote Software Engineer Secret Clearance vs Remote Software Developer Secret Clearance?

AspectRemote Software Engineer Secret ClearanceRemote Software Developer Secret Clearance
CredentialsTypically requires a security clearance, coding skills, and engineering experienceRequires security clearance, programming skills, and software development background
Work EnvironmentCollaborates on complex projects, often in defense or government sectorsDevelops software solutions, often for government or secure clients
Employer & IndustryPrimarily government agencies, defense contractorsGovernment agencies, defense contractors, tech firms
Search & Comparison IntentHigh overlap in security clearance and technical skillsSimilar roles with focus on software development and security clearance

Both roles require security clearance and strong programming skills, often working in secure government or defense environments. The main difference lies in the job focus: engineers typically work on complex systems and infrastructure, while developers focus on creating and maintaining software applications. Both positions are vital in sectors requiring security clearance and technical expertise.

More about Remote Software Engineer Secret Clearance jobs
What cities are hiring for Remote Software Engineer Secret Clearance jobs? Cities with the most Remote Software Engineer Secret Clearance job openings:
What are the most commonly searched types of Software Engineer Secret Clearance jobs? The most popular types of Software Engineer Secret Clearance jobs are:
What states have the most Remote Software Engineer Secret Clearance jobs? States with the most job openings for Remote Software Engineer Secret Clearance jobs include:
Infographic showing various Remote Software Engineer Secret Clearance job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 74% Full Time, 16% Part Time, 2% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer (US-Remote)

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Posted 17 days ago


Job description

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Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.govย 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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