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Remote Linux Engineer Jobs in Arizona (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with Linux including scripting (Bash) Preferred Skills: * Experience with AI/machine ...

360 IT Professionals

Sr Software Engineer

Chandler, AZ · Remote

$120K - $159K/yr

Experience with software lifecycle and development tools such as Linux/JVM internals, Jersey, Jetty ... and remote conferencing tools Experience and ability to lead and/or participate in teams and in ...

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All JobsLinux Engineer JobsRemote Linux Engineer JobsRemote Linux Engineer Jobs in Arizona

Remote Linux Engineer information

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$10

$55

$85

How much do remote linux engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for remote linux engineer in Arizona is $55.67, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $62.50 per hour, depending on experience, location, and employer.

Is Linux still in demand?

Linux engineers are in high demand due to the widespread use of Linux in servers, cloud infrastructure, and embedded systems. Skills in Linux system administration, scripting, and familiarity with tools like Docker and Kubernetes enhance job prospects in this field.

What engineers make $200,000 a year?

Senior Linux engineers with extensive experience, advanced skills in scripting, system architecture, and cloud platforms can earn $200,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires certifications, specialized knowledge, and a strong track record of managing large-scale systems.

What is a Remote Linux Engineer job?

A Remote Linux Engineer is an IT professional responsible for designing, implementing, and maintaining Linux-based systems and servers while working remotely. They handle system administration tasks, troubleshoot issues, optimize performance, and ensure security and stability. This role often involves working with cloud platforms, automation tools, and scripting languages to manage infrastructure efficiently. Remote Linux Engineers collaborate with teams using communication tools and may support DevOps, networking, or cybersecurity functions based on business needs.

What engineer makes $500,000 a year?

A senior or specialized Linux engineer with extensive experience, advanced skills in scripting, system architecture, and cloud platforms can earn $500,000 annually, especially in high-demand industries or senior leadership roles. Such compensation often includes base salary, bonuses, and stock options, typically requiring certifications and a strong track record of performance.

How can I make $100,000 a year working from home?

A Remote Linux Engineer can earn $100,000 or more annually by gaining advanced skills in Linux system administration, scripting, and cloud platforms like AWS or Azure. Building a strong portfolio, obtaining relevant certifications such as RHCE or Linux Foundation certifications, and gaining experience in high-demand areas like cybersecurity or DevOps can increase earning potential while working remotely.

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

To thrive as a Remote Linux Engineer, you need a solid understanding of Linux systems administration, networking, scripting languages (such as Bash or Python), and troubleshooting, often backed by a degree in computer science or related certifications like RHCE or CompTIA Linux+. Familiarity with tools like Docker, Ansible, Kubernetes, and virtualization platforms is typically required. Excellent problem-solving abilities, self-motivation, and strong written communication are essential soft skills for remote collaboration and effective support. These skills and qualities are vital to ensuring reliable system performance, efficient remote operations, and seamless teamwork across distributed environments.

What are common challenges faced by Remote Linux Engineers and how are they typically addressed?

Remote Linux Engineers often encounter challenges such as troubleshooting complex system issues without on-site access, maintaining secure remote connections, and staying aligned with distributed team members. These challenges are typically addressed through advanced remote monitoring tools, comprehensive documentation, and regular virtual meetings for knowledge sharing and collaboration. Effective time management and continuous learning are also crucial for staying updated on emerging technologies and best practices. Organizations often provide clear escalation paths and encourage peer support to help engineers resolve critical incidents quickly. Being proactive and adaptable helps ensure both productivity and strong system reliability in a remote environment.

What are popular job titles related to Remote Linux Engineer jobs in Arizona? For Remote Linux Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Linux Engineer jobs in Arizona look for? The top searched job categories for Remote Linux Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Linux Engineer jobs? Cities in Arizona with the most Remote Linux Engineer job openings:
Remote Linux Engineer jobs near you
Infographic showing various Remote Linux Engineer job openings in Arizona as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,784 per year, or $55.7 per hour.
AI Application Engineer

AI Application Engineer

Advantest

Chandler, AZ • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Job Description

  • This role sits at the intersection of semiconductor test engineering and AI, driving the transformation of traditional test workflows into AI-powered systems.
  • As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and data scientists to define, develop, and deploy next-generation AI capabilities for the V93000 platform.
  • As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as:
    • test program generation
    • debug and root cause analysis
    • knowledge-driven engineering workflows
  • You will lead customer engagements for AI solutions, serving as the primary interface for:
    • use case discovery
    • product definition
    • feedback and iterative improvement
    • rollout and adoption of new capabilities
  • You will collaborate with global R&D teams to influence product direction and strategy for AI-enabled test solutions.
  • You will design and execute pre-sales and proof-of-concept activities, including:
    • customer demos
    • benchmark studies
    • pilot deployments
  • You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal and external enablement through workshops and training.

Technical Environment

You will work in a hybrid environment combining:

  • Linux-based systems (e.g., Red Hat Enterprise Linux)
  • V93000 / SmarTest development ecosystem
  • Modern AI-assisted development workflows, including:
    • AI-enabled IDEs such as VS-Code, Cursor, GitHub Copilot, and Visual Studio Code
    • Markdown-driven prompt and agent design
    • Python-based automation and AI tooling
  • API-driven systems, version control (Git), and integration with AI platforms and services

Requirements

  • Degree in Electrical/Electronics Engineering or equivalent
  • Strong experience as an Application Engineer on the V93000 platform
  • Solid understanding of AI concepts applied to engineering workflows, such as:
    • LLMs
    • retrieval-augmented generation (RAG)
    • automation and code generation
  • Strong software skills (Java and Python), including:
    • test program development
    • scripting or tool development
  • Proven ability to translate customer problems into scalable technical solutions
  • Excellent customer-facing and pre-sales experience
  • Strong debugging, analytical, and problem-solving skills
  • Ability to lead cross-functional projects and drive outcomes
  • High ownership mindset: proactive, self-directed, and execution-focused
  • Comfortable working in global, cross-functional environments
  • Curiosity and drive to stay at the forefront of AI innovation
  • Willingness to travel internationally (20-30%)
  • Candidates throughout the United States are welcome to apply; remote work options may be available.

Apply