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Remote Automation Testing Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

... testing, deployment, rollback, and lifecycle management. * Implement infrastructure automation ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Team Velocity

Development Manager

Raleigh, NC · Remote

$140K - $200K/yr

Define and enforce development processes, including branching strategy, CI/CD, and QA/testing ... automation tools to enhance developer efficiency Compensation This is a full-time, salaried, remote ...

Grantek

Systems Engineer

Raleigh, NC · On-site +1

Grantek is a recognized leading provider of integrated automation, smart manufacturing and ... System programming, debugging, and testing. * Creating documentation, including project engineering ...

KEYENCE

Field Application Engineer

Raleigh, NC · On-site +1

$54K - $81K/yr

... automation and technology. What You'll Do As a Field Application Engineer , you'll be at the ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Pentair

Senior SAP Analyst - EWM

Raleigh, NC · Remote

$82K - $152K/yr

External candidates can work remote, as long as you are within a reasonable driving distance of a ... Lead or contribute to testing activities, including unit testing, integration testing, UAT ...

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Remote Automation Testing information

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How much do remote automation testing jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote automation testing in Raleigh, NC is $49.85, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $56.78 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a remote automation testing role, and how can they be addressed?

Remote automation testers often encounter challenges like coordinating across different time zones, maintaining effective communication with development teams, and managing test environments remotely. To address these issues, it’s important to utilize clear documentation practices, regularly attend virtual meetings, and leverage project management tools such as Jira or Slack for updates and collaboration. Testers should also proactively set up secure access to cloud-based or shared test environments and develop a system for tracking test runs and results. With these strategies, remote testers can overcome common hurdles, ensuring that their testing processes remain smooth and the quality of deliverables is maintained.

What are the key skills and qualifications needed to thrive in the Remote Automation Testing position, and why are they important?

To excel in Remote Automation Testing, you need a strong background in software testing methodologies, programming skills (such as Python, Java, or JavaScript), and experience in automation frameworks like Selenium or Cypress. Familiarity with continuous integration/continuous deployment (CI/CD) tools, cloud-based testing environments, and relevant certifications such as ISTQB or Certified Selenium Tester is highly beneficial. Effective communication, time management, and problem-solving abilities are essential soft skills for remote collaboration and troubleshooting. These competencies are vital for ensuring software quality, seamless teamwork, and efficient test automation in a distributed work environment.

Can you work remotely as a QA tester?

Yes, remote QA testing jobs are common in the industry, allowing testers to perform tasks such as test case creation, execution, and defect reporting from any location. These roles often require familiarity with automation tools, scripting, and communication platforms, and may involve flexible schedules depending on the employer.

Are QA testers in demand in 2026?

QA testers in demand in 2026 are expected to grow due to increasing reliance on software quality assurance, automation tools like Selenium and Jenkins, and the need for continuous testing in agile environments. Skills in scripting, test automation, and familiarity with CI/CD pipelines will enhance job prospects for remote automation testers.

What is a Remote Automation Testing job?

A Remote Automation Testing job involves designing, developing, and executing automated test scripts to verify the functionality of software applications while working remotely. Testers use automation frameworks and tools like Selenium, Cypress, or Appium to ensure software quality. They collaborate with development teams, identify bugs, and enhance test efficiency. Remote testers must have strong programming skills, analytical thinking, and experience with CI/CD pipelines. This role allows professionals to work from anywhere while contributing to high-quality software releases.

Are automation testers in demand?

Automation testers are in high demand due to the increasing reliance on software quality assurance and the adoption of testing tools like Selenium, JUnit, and TestNG. Companies seek professionals skilled in scripting, test automation frameworks, and continuous integration to improve testing efficiency and coverage.

Will AI replace automation testers?

AI is transforming automation testing by enabling faster and more efficient test case generation and execution. However, automation testers are needed to design, maintain, and interpret AI-driven testing tools, making their role essential for ensuring software quality and adapting to new technologies. Human oversight remains critical in complex testing scenarios and in understanding business requirements.
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Remote Automation Testing jobs near you

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Posted 29 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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