ZipRecruiter

Log In

2

Remote Devops Sre Engineer Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92.40K - $126.40K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

MTSS

Artificial Intelligence Engineer

Durham, NC · Remote

$107K - $146.90K/yr

... & DevOps * Expert-level knowledge of AWS , including: * DynamoDB * EventBridge * RabbitMQ ... Remote role (United States-based * U.S. Citizen / Green Card Holder * To ensure a fair and secure ...

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118.40K - $156.10K/yr

... and reliability standards. * Participate in project definition phase establishing project risk ... Process Tools - Azure DevOps Services; Git version control system; JAMA; JIRA; AWS Infrastructure ...

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119.10K - $157K/yr

... and reliability standards. * Participate in project definition phase establishing project risk ... Process Tools - Azure DevOps Services; Git version control system; JAMA; JIRA; AWS Infrastructure ...

Redhat

Software Engineer - API Server (OpenShift)

Raleigh, NC · On-site +1

$96.44K - $154.19K/yr

As an OpenShift engineer, you will work in one of the top Kubernetes teams industry-wide. You can ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

FHR

MO2-613-Senior Azure Cloud Engineer 11694-1

Raleigh, NC · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... DEVOPS MODEL AND ASSUMES RESPONSIBILITY FOR END-TO-END QUALITY OF THEIR WORK AND SUPPORT. • ...

next page

Showing results 1-20

People also search for

All JobsRemote Devops Sre Engineer JobsRemote Devops Sre Engineer Jobs in Raleigh, NC

Remote Devops Sre Engineer information

See Raleigh, NC salary details

$10

$61

$89

How much do remote devops sre engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote devops sre engineer in Raleigh, NC is $61.96, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $70.82 per hour, depending on experience, location, and employer.

What is a Remote DevOps SRE Engineer job?

A Remote DevOps SRE (Site Reliability Engineer) job involves managing and automating infrastructure, ensuring system reliability, and optimizing deployment processes from a remote location. These professionals work with cloud platforms, CI/CD pipelines, monitoring tools, and configuration management to enhance system performance and availability. They collaborate with development and operations teams to prevent service disruptions and improve scalability. The role requires expertise in coding, automation, troubleshooting, and cloud technologies like AWS, Azure, or GCP.

What are the key skills and qualifications needed to thrive in the Remote Devops Sre Engineer position, and why are they important?

To thrive as a Remote DevOps SRE Engineer, you need deep expertise in systems administration, cloud platforms (such as AWS, Azure, or Google Cloud), automation, and infrastructure-as-code, typically backed by experience in scripting languages and a relevant technical degree. Proficiency with tools like Docker, Kubernetes, Terraform, Jenkins, and monitoring solutions, as well as certifications such as AWS Certified DevOps Engineer or Google Professional SRE, is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are key soft skills in a remote setting. These capabilities ensure reliability, scalability, and seamless operations of critical systems in distributed environments.

What are the primary responsibilities and challenges faced by a Remote DevOps SRE Engineer day-to-day?

Remote DevOps SRE Engineers are responsible for maintaining the availability, scalability, and performance of production systems, often using automation to streamline deployments and incident response. A typical day may involve refining CI/CD pipelines, responding to system alerts, conducting root cause analysis of outages, and collaborating with software engineers to improve system reliability. One of the main challenges is proactively identifying and mitigating potential infrastructure issues before they impact customers, all while communicating effectively across remote teams. The role often requires balancing the implementation of new technologies with maintaining operational stability, making adaptability and strong time management essential for success.
More about Remote Devops Sre Engineer jobs
What are popular job titles related to Remote Devops Sre Engineer jobs in Raleigh, NC? For Remote Devops Sre Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Devops Sre Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Devops Sre Engineer jobs in Raleigh, NC are:
Remote Devops Sre Engineer jobs near you

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92.40K - $126.40K/yr

Full-time

Posted 26 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.

Apply