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Virtual Linux Kernel Developer Jobs in Phoenix, AZ

Senior Infra and DevOps Cloud Engineer

Gilbert, AZ · Hybrid

$129K - $166K/yr

Red Hat Linux system administration certification; or HashiCorp Terraform certification ... Experience with AWS infrastructure services, including Virtual Private Cloud (VPC), Elastic Compute ...

Senior Software engineer

Phoenix, AZ · On-site

$121K - $160K/yr

Engineer Location: Phoenix, AZ Onsite/ Remote: Onsite. The pay range for this role is ***k- ***k ... JD: C/C++ - Development experience and data structures understanding Linux Window Kernel device ...

Lead DevOps Engineer

Scottsdale, AZ · Hybrid

$53.25 - $73/hr

Job Title: Lead DevOps Engineer Location: Scottsdale, AZ Job Type: Full Time No C2C or Third ... Experience with Windows/Linux virtual environments and VM management tools * Experience with ...

Lead DevOps Engineer

Scottsdale, AZ · Hybrid

$53.25 - $72.75/hr

Lead DevOps Engineer Location: Scottsdale, AZ Job Type: Full Time No C2C or Third Parties. Must be ... Experience with Windows/Linux virtual environments and VM management tools * Experience with ...

Lead DevOps Engineer

Scottsdale, AZ · Hybrid

$53.25 - $72.75/hr

Lead DevOps Engineer Location: Scottsdale, AZ Job Type: Full Time No C2C or Third Parties. Must be ... Experience with Windows/Linux virtual environments and VM management tools * Experience with ...

Lead DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $72.75/hr

Job Title: Lead DevOps Engineer Location: Scottsdale, AZ Job Type: Full Time No C2C or Third ... Experience with Windows/Linux virtual environments and VM management tools * Experience with ...

Python Dev Bucket

Chandler, AZ · Hybrid

$60 - $65/hr

Job#: 3032248 Python Developer Location: Chandler, Arizona (Hybrid, 3 days onsite 2 days remote ... Manage Python environments, virtual environments, dependencies, and PYPI package maintenance.

Python Dev

Chandler, AZ · Hybrid

$60 - $65/hr

Job#: 3030524 Python Developer Location: Chandler, Arizona (Hybrid, 3 days onsite 2 days remote ... Manage Python environments, virtual environments, dependencies, and PYPI package maintenance.

Senior Angular Developer

Chandler, AZ · Hybrid

$52 - $57.63/hr

ReactJS. * Tertiary Skill: Linux. * 4+ years of experience using Angular CLI. Preferred ... Apex uses a virtual recruiter as part of the application process. Click for more details. If you ...

Collaborate with DevOps engineers to streamline operations and processes * Lead architectural ... Very strong proficiency in Python programming and Linux OS (Ubuntu, CentOS, etc.) * Experience with ...

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Showing results 1-20

Virtual Linux Kernel Developer information

See Phoenix, AZ salary details

$100.3K

$148K

$174.8K

How much do virtual linux kernel developer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for virtual linux kernel developer in Phoenix, AZ is $148,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $163,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Linux Kernel Developer, and why are they important?

To thrive as a Virtual Linux Kernel Developer, you need deep expertise in Linux kernel architecture, C programming, and operating system concepts, typically supported by a degree in Computer Science or related fields. Familiarity with version control systems like Git, debugging tools such as GDB, and experience with virtualization technologies (e.g., KVM, QEMU) are essential. Strong problem-solving abilities, attention to detail, and effective remote communication distinguish outstanding professionals in this role. These skills are crucial for developing robust kernel modules, diagnosing complex issues, and collaborating efficiently within distributed development teams.

What is the difference between Virtual Linux Kernel Developer vs Virtual Linux System Programmer?

AspectVirtual Linux Kernel DeveloperVirtual Linux System Programmer
Primary FocusDeveloping and maintaining Linux kernel codeWriting and optimizing system-level software for Linux
Required SkillsC programming, kernel architecture, debugging kernel modulesC, C++, system calls, device drivers
Work EnvironmentCollaborative development, version control, Linux environmentsSystem integration, testing, Linux-based systems
Industry UsageOpen-source projects, tech companies, hardware vendorsIT services, embedded systems, enterprise solutions

While both roles involve Linux and system-level programming, Virtual Linux Kernel Developers focus on kernel code development, whereas Virtual Linux System Programmers work on system software and application interfaces. Understanding these distinctions helps in choosing the right career path or job search focus.

What are some common challenges faced by Virtual Linux Kernel Developers when debugging complex virtualization issues?

Virtual Linux Kernel Developers often encounter intricate challenges when debugging issues related to virtualization, such as timing discrepancies, non-deterministic behavior, and compatibility with diverse hypervisors. These issues can be difficult to isolate since they may only manifest under specific workloads or hardware configurations. Collaboration with systems engineers, QA teams, and sometimes upstream kernel communities is usually essential to identify root causes and implement robust solutions. Being comfortable with low-level debugging tools, kernel logs, and patch testing in virtual environments is key to overcoming these challenges.

What does a Virtual Linux Kernel Developer do?

A Virtual Linux Kernel Developer specializes in designing, developing, and maintaining the core components of the Linux operating system, particularly in virtualized environments. This includes working on kernel modules, optimizing performance for virtual machines, and fixing bugs related to virtualization technologies. They often collaborate with open-source communities and contribute to projects that enhance Linux's compatibility with different hypervisors and cloud platforms. Their role is critical in ensuring the efficiency, security, and stability of Linux systems running in virtualized settings.
What are the most commonly searched types of Linux Kernel Developer jobs in Phoenix, AZ? The most popular types of Linux Kernel Developer jobs in Phoenix, AZ are:
What are popular job titles related to Virtual Linux Kernel Developer jobs in Phoenix, AZ? For Virtual Linux Kernel Developer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Virtual Linux Kernel Developer jobs in Phoenix, AZ look for? The top searched job categories for Virtual Linux Kernel Developer jobs in Phoenix, AZ are:
Infographic showing various Virtual Linux Kernel Developer job openings in Phoenix, AZ as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $148,005 per year, or $71.2 per hour.
AI DevOps Systems Administrator

AI DevOps Systems Administrator

Column Technical Services

Scottsdale, AZ

Full-time

Posted 11 days ago


Job description

Column Technical Services is seeking a highly skilled AI DevOps Systems Administrator to architect, support, and evolve the infrastructure powering our cutting-edge Artificial Intelligence and Machine Learning initiatives in a secure, classified environment in Scottsdale, AZ. In this role, you'll be at the forefront of innovation, driving reliable model development and deployment by optimizing pipelines, maximizing compute performance, and ensuring robust scalability and security across platforms. This is a unique opportunity to work with advanced technologies while making a direct impact on mission-critical systems. If you're passionate about AI infrastructure, thrive in high-performance environments, and are ready to take on meaningful, complex challenges, we encourage you to apply.

Sponsorship is not available for this role. Candidates must currently reside in or near Scottsdale, Arizona.

In this position, you will work closely with data scientists and machine learning engineers to enable seamless transitions from experimentation to production.

Core Responsibilities
  • Architect, deploy, and support scalable environments for AI/ML training and inference workloads
  • Build and maintain automated CI/CD workflows for machine learning models and AI-driven applications
  • Administer and fine-tune Linux-based systems across physical and virtual infrastructures
  • Implement and manage containerized environments using tools such as Docker and Kubernetes to support scalable ML services
  • Utilize Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible) to automate provisioning, configuration, and system management
  • Optimize allocation and usage of GPU resources for compute-intensive workloads
  • Establish monitoring, logging, and alerting frameworks to ensure system health, availability, and performance
  • Partner with engineering teams to troubleshoot issues, improve workflows, and meet infrastructure requirements
Additional Responsibilities
As a senior-level contributor, you will serve as a key technical point of contact, supporting users and participating in system design and evolution efforts to align with emerging technologies. You will:
  • Install, configure, and maintain software and system components
  • Diagnose and resolve technical issues, including access control and permissions
  • Provide guidance and training to users on system functionality
  • Manage daily operations of server environments across both physical and virtual platforms
  • Configure, maintain, and troubleshoot hardware, operating systems, and network interfaces
  • Investigate and resolve system alerts, ensuring continuity of services
  • Develop scripts to streamline and automate repetitive operational tasks
  • Collaborate directly with stakeholders to identify, isolate, and resolve system-related issues impacting broader services
What Sets You Apart
  • A collaborative mindset with a strong commitment to team success and shared outcomes
  • Solid understanding of how systems, servers, and services interconnect within a broader IT ecosystem
  • Advanced expertise in supporting both physical and virtual server environments
  • Deep knowledge of access controls, permissions, and security practices to ensure appropriate and secure data access
  • A proactive approach to identifying opportunities to leverage AI for operational efficiency, continuous improvement, and innovation
What You'll Experience
  • Work with advanced and often highly classified technologies
  • Be part of a forward-thinking team focused on innovation and exploration
  • Continuous learning opportunities aligned with emerging advancements

Qualifications
  • Minimum of 8 years of relevant experience OR a Master's degree with 6+ years of experience
  • Bachelor's degree in Computer Science, a related discipline, or equivalent experience 
  • Deep expertise in server-based operating systems
  • Strong proficiency in Linux environments, containerization, and AI/ML infrastructure
  • Proven ability to serve as a subject matter expert and mentor team members
  • Advanced troubleshooting skills across operating systems, networking, and storage technologies
  • Hands-on experience building, deploying, and maintaining enterprise-scale server environments
  • Exposure to or experience working with AI/ML workloads is highly desirable
  • Willingness to travel occasionally
Education:Bachelors of ScienceEmployment Type: FULL_TIME