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Unix Support Engineer Jobs in Arizona (NOW HIRING)

Unix support : 3 Years. Additional Job Posting Description Details: Basic knowledge of MS Lync ... Provide SPOC for all voice engineering related issues in support of the Honeywell engagement ...

Vehicle Control Support Engineer Posting Start Date: 5/5/26 Job Location (Short): Tucson, Arizona ... Windows, Linux, Unix systems. * AHS hardware structure and function * Database structure or query ...

... Unix/Linux, and troubleshooting skills ✔️ Experience supporting banking or financial services environments ✔️ Excellent analytical and problem-solving skills

Engineer II

Phoenix, AZ

$54.75 - $72.50/hr

Knowledge on Unix shell scripting, PERL or Python programming is preferred Experience in handling ... Experience on supporting three tier architecture which includes exposure to databases such IBM DB2 ...

Engineer II

Phoenix, AZ

$54.75 - $72.50/hr

Knowledge on Unix shell scripting, PERL or Python programming is preferred Experience in handling ... Experience on supporting three tier architecture which includes exposure to databases such IBM DB2 ...

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Unix Support Engineer information

See Arizona salary details

$9

$36

$64

How much do unix support engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for unix support engineer in Arizona is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $28.17 and $43.89 per hour, depending on experience, location, and employer.

What is the difference between Unix Support Engineer vs Linux System Administrator?

AspectUnix Support EngineerLinux System Administrator
CertificationsUnix certifications (e.g., UNIX/Linux certifications)Linux certifications (e.g., RHCE, CompTIA Linux+)
Work EnvironmentUnix servers, enterprise environmentsLinux servers, data centers, cloud platforms
Industry UsageFinancial, telecom, large enterprisesWeb hosting, cloud services, startups
Job FocusSupport, troubleshooting, maintaining Unix systemsDeployment, configuration, automation of Linux systems

While both roles involve working with Unix-like systems, a Unix Support Engineer primarily provides support and troubleshooting for Unix environments, often in enterprise settings. A Linux System Administrator focuses on managing Linux servers, including deployment and automation. Both roles require similar certifications and technical skills but differ in their specific focus and work environments.

What are the key skills and qualifications needed to thrive as a Unix Support Engineer?

To thrive as a Unix Support Engineer, you need a solid understanding of Unix/Linux operating systems, scripting languages (such as Bash or Python), and a relevant degree or certifications like CompTIA Linux+ or Red Hat Certified System Administrator (RHCSA). Familiarity with tools like SSH, system monitoring utilities, ticketing systems, and backup solutions is commonly required. Strong problem-solving abilities, effective communication, and attention to detail are crucial soft skills for this role. These competencies are vital for ensuring system reliability, quickly resolving technical issues, and supporting seamless IT operations.

What does a Unix Support Engineer do?

A Unix Support Engineer is responsible for maintaining, troubleshooting, and optimizing Unix-based systems for organizations. Their duties include installing and configuring Unix servers, monitoring system performance, resolving hardware and software issues, and supporting end-users. They also ensure system security, perform regular backups, and may assist in automating tasks using shell scripting. Unix Support Engineers often work closely with other IT teams to ensure seamless operation of business-critical applications.

What are some of the typical challenges faced by Unix Support Engineers in a fast-paced enterprise environment?

Unix Support Engineers in enterprise settings often encounter challenges such as managing complex, large-scale server environments with minimal downtime, addressing urgent system outages, and troubleshooting diverse application and hardware issues. They must balance routine maintenance tasks with rapid response to critical incidents, all while ensuring robust security and compliance standards are met. Collaboration with development, database, and network teams is essential, as is staying up to date with evolving Unix technologies and best practices to provide effective support.
What job categories do people searching Unix Support Engineer jobs in Arizona look for? The top searched job categories for Unix Support Engineer jobs in Arizona are:
What cities in Arizona are hiring for Unix Support Engineer jobs? Cities in Arizona with the most Unix Support Engineer job openings:

Python Unix machine learning Support Engineer

Centraprise

Chandler, AZ • On-site

Full-time

Re-posted 17 days ago


Job description

Job Title : Python Unix machine learning Support Engineer
Job Location : Chandler, AZ (ONSITE)
Job Type : Full-Time
Job Description:
Python Unix machine learning Support Engineer
Must Have Technical/Functional Skills
Unix, ShellScripting, Python, Machine learning, Production Support
Roles & Responsibilities
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills
can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning
techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production
use cases.