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Linux System Engineer Internship Jobs in Frisco, TX

TBA Paid-internship : $25/hr About Kaizen Kaizen Analytix is a global technology consulting firm ... systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a ...

New

Linux System Administration and Cloud Management Tools and Frameworks. Custom automation and ... Java/J2EE Developer Excellent Communicaiton (Verbal & Written) Additional Information Full time ...

Minimum Qualifications: 3-5 years managing enterprise RedHat Unix/Linux solutions, preferably large ... Experience with revision control systems * Strong communication skills (verbal, written ...

... Linux Operating System, preferably Red Hat (like RHEL) Experience in Telecom Service Provider Network configurations, deployments and Troubleshooting Experience in Networking Protocols (DHCP, DNS ...

Sr. Network Engineer

Addison, TX · On-site

$100K - $137K/yr

... Network Engineer to lead the installation, configuration, and monitoring of Unix/Linux-based ... Key Responsibilities • Install, configure, and maintain Unix/Linux operating systems and open ...

Network / System Engineer III

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Unix/Linux environments. * Windows/networking basics. Preferred Qualifications * ITIL or SRE ... Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow ...

New

Showing results 21-40

Linux System Engineer Internship information

See Frisco, TX salary details

$9

$48

$65

How much do linux system engineer internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for linux system engineer internship in Frisco, TX is $48.07, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $53.99 per hour, depending on experience, location, and employer.

What is the difference between Linux System Engineer Internship vs Linux System Administrator?

AspectLinux System Engineer InternshipLinux System Administrator
CredentialsTypically pursuing or recent graduate in IT or related fieldRelevant certifications like CompTIA Linux+, LPIC, or RHCSA often preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time, operational environment managing Linux servers
Employer & IndustryTech companies, IT departments, startupsData centers, enterprise IT, hosting providers
Search & Comparison IntentLearning opportunities, entry-level roles, internshipsOperational roles, system management, career advancement

The Linux System Engineer Internship is an entry-level, learning-focused position aimed at students or recent graduates, while a Linux System Administrator is a full-time role responsible for managing and maintaining Linux servers in a professional environment. Both roles require familiarity with Linux, but the internship emphasizes skill development, whereas the administrator role involves operational responsibilities.

What types of projects and tasks can I expect to work on during a Linux System Engineer internship?

As a Linux System Engineer Intern, you can expect to be involved in projects such as configuring and maintaining Linux servers, assisting with network and system monitoring, automating routine tasks using shell scripts, and troubleshooting system issues alongside senior engineers. You may also participate in team meetings to discuss system upgrades and security practices, and help document procedures. This hands-on experience is designed to give you a strong foundation in real-world Linux administration and often includes mentorship to support your professional growth.

What are the key skills and qualifications needed to thrive as a Linux System Engineer intern, and why are they important?

To thrive as a Linux System Engineer Intern, you need a solid understanding of Linux operating systems, basic networking concepts, and familiarity with scripting languages such as Bash or Python, often supported by coursework or certifications like CompTIA Linux+. Experience with command-line tools, virtualization platforms, and configuration management systems such as Ansible or Puppet is typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These competencies are crucial for efficiently maintaining systems, troubleshooting issues, and collaborating with IT teams in dynamic technical environments.

What is a Linux System Engineer internship?

A Linux System Engineer Internship is a temporary position designed for students or recent graduates to gain hands-on experience working with Linux-based operating systems in a professional IT environment. Interns typically assist with the installation, configuration, maintenance, and troubleshooting of Linux servers, as well as automation and scripting tasks. This role helps interns develop practical skills in system administration, networking, and security, preparing them for future careers as Linux System Engineers. Interns often work under the supervision of experienced engineers and may also participate in real-world projects to enhance their technical expertise.

What cities near Frisco, TX are hiring for Linux System Engineer Internship jobs?

Cities near Frisco, TX with the most Linux System Engineer Internship job openings:

Infographic showing various Linux System Engineer Internship job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $99,986 per year, or $48.1 per hour.

AI Engineer Internship

Kaizen Analytix

Dallas, TX • On-site

$25/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Employment Type: Onsite Internship
Location: Dallas, TX
Travel Required: TBA
Paid-internship: $25/hr
About Kaizen
Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact. 
Job Overview
We are looking for an AI Engineer Intern to support our AI/ML team in building and maintaining components of our AI projects and data infrastructure. This is a hands-on learning role for someone with a foundation in machine learning or data engineering who wants practical exposure to generative AI, large language models (LLMs), and the data systems that support them. The intern will work under the guidance of senior engineers on real project tasks, with a focus on skill-building rather than independent ownership.
Key Responsibilities
Hands-on Development (Supported)
  • Assist in building, testing, and fine-tuning components of generative AI and LLM-based applications (e.g., chatbots, content generation, RAG pipelines) under supervision
  • Support experimentation with prompt engineering, retrieval-augmented generation (RAG), and basic model fine-tuning techniques
  • Write clean, documented Python code for smaller, well-scoped tasks (e.g., data preprocessing scripts, evaluation utilities, pipeline components)
  • Help build and maintain data pipelines used for training and evaluating models, under the direction of a mentor
     
Learning & Exploration
  • Learn core deep learning concepts (CNNs, RNNs, Transformers, attention mechanisms) and apply them to guided project tasks
  • Research and summarize recent papers or techniques in generative AI, LLMs, or AIOps as directed by the team
  • Explore vector embeddings and vector storage approaches, and document findings for the team

Collaboration
  • Participate in team meetings, stand-ups, and design discussions to understand how AI systems are architected end-to-end
  • Work alongside data scientists and engineers to understand requirements and how they translate into implementation
  • Present learnings, progress, and small deliverables to the team on a regular cadence

Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
  • Coursework or personal/academic project experience with Python and at least one ML framework (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)
  • Basic understanding of deep learning fundamentals (neural networks, model training, evaluation metrics)
  • Familiarity with, or strong interest in, generative AI and LLM concepts (fine-tuning, RAG, prompt engineering) — prior hands-on experience is a plus but not required.
  • Understanding of basic software engineering practices (version control with Git, writing readable code, basic testing).
  • Strong analytical and problem-solving skills, with willingness to learn and take direction.
  • Good communication skills and comfort working in a collaborative, remote team environment.

Kaizen Analytix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
 

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