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Remote Network Engineer Secret Clearance Jobs in Raleigh, NC

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Secret Security Clearance - Active or Inactive Education: * Bachelor's degree in CS, Software Engineering or other IT-related field or equivalent experience REMOTE WORK NOTICE: This position may be ...

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Remote Network Engineer Secret Clearance information

See Raleigh, NC salary details

$30.1K

$106K

$153.6K

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

As of Aug 9, 2026, the average yearly pay for remote network engineer secret clearance in Raleigh, NC is $105,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a remote network engineer with secret clearance?

A Remote Network Engineer with Secret Clearance is a specialized IT professional responsible for designing, implementing, and managing network systems for organizations, often from a remote location. The 'Secret Clearance' refers to a U.S. government security clearance that allows the engineer to access classified information necessary for certain defense or government projects. These engineers ensure secure and efficient network operations while adhering to strict security protocols. Their work supports mission-critical communication and data transfer, often for military or federal agencies. Remote work allows them to perform these duties without being physically present at the organization's site.

What are some common challenges faced by remote network engineers with secret clearance, and how can they be addressed?

Remote Network Engineers with Secret Clearance often encounter challenges such as securely accessing classified systems, maintaining effective communication with on-site teams, and troubleshooting network issues from a distance. To address these, it’s important to be proficient with secure remote access tools, follow strict security protocols, and leverage collaboration platforms to stay connected with colleagues. Regular training on cybersecurity best practices and clear documentation of network changes also help ensure smooth operations and compliance with government standards.

What are the key skills and qualifications needed to thrive as a remote network engineer with secret clearance?

To thrive as a Remote Network Engineer with Secret Clearance, you need a strong background in network architecture, troubleshooting, and security protocols, typically supported by a bachelor's degree in IT or related field and an active Secret clearance. Familiarity with Cisco/Juniper devices, network monitoring tools, and certifications like CCNA, CCNP, or CompTIA Security+ are commonly required. Excellent problem-solving skills, attention to detail, and effective communication are valuable soft skills for this role. These skills and qualifications are crucial to ensure secure, reliable network operations and compliance with government security standards.

What is the difference between Remote Network Engineer Secret Clearance vs Remote Cybersecurity Analyst Secret Clearance?

AspectRemote Network Engineer Secret ClearanceRemote Cybersecurity Analyst Secret Clearance
Required CertificationsCCNA, CCNP, Security+Security+, CISSP, CEH
Work EnvironmentNetwork design, implementation, troubleshootingThreat analysis, vulnerability assessment, incident response
Employer & Industry UsageTelecom, government, defense contractorsGovernment agencies, defense, private cybersecurity firms

Both roles often require a Secret Clearance and involve working in secure environments. While Remote Network Engineers focus on designing and maintaining network infrastructure, Remote Cybersecurity Analysts specialize in protecting systems from threats. The certifications and daily tasks differ, but both roles are vital in secure, remote settings within government and defense sectors.

What are popular job titles related to Remote Network Engineer Secret Clearance jobs in Raleigh, NC? For Remote Network Engineer Secret Clearance jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Network Engineer Secret Clearance jobs in Raleigh, NC look for? The top searched job categories for Remote Network Engineer Secret Clearance jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Network Engineer Secret Clearance jobs? Cities near Raleigh, NC with the most Remote Network Engineer Secret Clearance job openings:
Remote Network Engineer Secret Clearance jobs near you
Infographic showing various Remote Network Engineer Secret Clearance job openings in Raleigh, NC as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $105,995 per year, or $51 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 7 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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