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Remote Reliability Manager Jobs in Raleigh, NC (NOW HIRING)

WalkMe

DevOps Engineer

Raleigh, NC · Remote

$54 - $74/hr

What You'll Own * Assist in managing deployment pipelines to facilitate smooth and efficient ... Participate in evaluating and integrating new technologies to enhance the scalability, reliability ...

Darkhorse Tech, Inc.

IT Field Technician

Raleigh, NC · On-site +1

$48K - $55K/yr

With technicians on the ground throughout the country we offer in-person as well as remote support ... Proven time management skills * Proven reliability and the ability to work independently

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Team Management : Build, lead, and mentor a high-performing team of data scientists, fostering a ...

BitSight

AI Marketing Systems Engineer

Raleigh, NC · Remote

... remote Bitsight is a cyber risk management leader transforming how companies manage exposure ... Balance rapid experimentation with long-term scalability, reliability, and governance. Administer ...

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All JobsReliability JobsRemote Reliability Manager JobsRemote Reliability Manager Jobs in Raleigh, NC

Remote Reliability Manager information

See Raleigh, NC salary details

$60.3K

$114.2K

$163.8K

How much do remote reliability manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote reliability manager in Raleigh, NC is $114,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $136,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Reliability Manager vs Remote Maintenance Engineer?

AspectRemote Reliability ManagerRemote Maintenance Engineer
CredentialsEngineering degree, certifications in reliability or asset managementEngineering degree, certifications in maintenance or technical skills
Work EnvironmentOversees reliability strategies remotely, collaborates with teamsPerforms maintenance tasks remotely or on-site, technical troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectorsCommon in manufacturing, utilities, and industrial facilities
Search IntentComparing reliability management roles with maintenance rolesLooking for maintenance-focused remote engineering jobs

The Remote Reliability Manager focuses on developing and implementing strategies to improve asset reliability remotely, often overseeing teams and analyzing data. In contrast, the Remote Maintenance Engineer handles technical maintenance tasks, troubleshooting, and repairs remotely or on-site. Both roles require engineering credentials and are prevalent in industrial sectors, but their core responsibilities differ—one emphasizes strategic reliability management, the other technical maintenance execution.

What are popular job titles related to Remote Reliability Manager jobs in Raleigh, NC? For Remote Reliability Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Reliability Manager jobs in Raleigh, NC look for? The top searched job categories for Remote Reliability Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Reliability Manager jobs? Cities near Raleigh, NC with the most Remote Reliability Manager job openings:
Remote Reliability Manager jobs near you

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 8 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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