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Senior Systems Developer Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

ENTEK

Senior Control Systems Engineer

Wake Forest, NC · On-site

$105K - $140K/yr

Join ENTEK as a Senior Control Systems Engineer ENTEK is excited to welcome a Senior Control Systems Engineer to our growing team. If you're looking for a place where your expertise is valued, your ...

Ncfbins

Systems Analyst

Raleigh, NC · On-site

$70 - $90/hr

... Senior Systems Analyst. Education and Experience A four-year degree and four to five years of programming experience, or an equivalent combination of education and experience. Experience with ...

Epic Games

Senior Systems Designer, Progression

Cary, NC · On-site

$94K - $101K/yr

What You'll Do Epic Games is looking for a Senior Systems Designer, Progression to tackle high ... Epic's award-winning Unreal Engine technology not only provides game developers the ability to ...

E-Solutions INC

AWS/Java Developer

Raleigh, NC · On-site

$55.75 - $71/hr

Senior AWS / Java Software Engineer Raleigh, North Carolina | Hybrid or Remote Government Sector ... Migrate and refactor legacy in-house systems into secure cloud environments. * Build scalable data ...

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Senior Systems Developer information

See Raleigh, NC salary details

$20.4K

$105.4K

$147.8K

How much do senior systems developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior systems developer in Raleigh, NC is $105,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $113,200.00 per year, depending on experience, location, and employer.
Infographic showing various Senior Systems Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $105,398 per year, or $50.7 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 4 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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