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Linux Kernel Jobs in Arizona (NOW HIRING)

Experience in SAP installations, system copies, kernel upgrades, and performance tuning * Expertise ... Familiarity with Operating systems Linux, Windows * Familiarity with high-availability and failover ...

Experience in SAP installations, system copies, kernel upgrades, and performance tuning * Expertise ... Familiarity with Operating systems Linux, Windows * Familiarity with high-availability and failover ...

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Linux Kernel information

See Arizona salary details

$94.1K

$138.9K

$164K

How much do linux kernel jobs pay per year?

As of May 29, 2026, the average yearly pay for linux kernel in Arizona is $138,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,200.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a Linux Kernel job?

A Linux Kernel job involves working on the development, maintenance, and optimization of the Linux kernel, which is the core component of the Linux operating system. Professionals in this role may focus on areas such as device drivers, memory management, file systems, or security. They typically work with programming languages like C and tools such as Git for version control. These roles are common in industries like embedded systems, cloud computing, and operating system development. Strong knowledge of Linux internals and debugging skills are essential for success in this field.

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

To thrive as a Linux Kernel Developer, you need strong proficiency in C programming, expertise with operating system concepts, and a solid understanding of hardware integration, often backed by a degree in Computer Science or a related field. Familiarity with git version control, debugging tools like gdb, and experience contributing to open-source projects or relevant Linux Foundation certifications are common requirements. Excellent problem-solving skills, attention to detail, and the ability to collaborate within globally distributed teams set top performers apart. These capabilities are essential for navigating the complexities of kernel-level development, ensuring high-quality contributions, and driving innovation in the Linux ecosystem.

What are some common challenges faced by Linux Kernel Developers, and how can they be addressed?

Linux Kernel Developers often encounter complex issues such as debugging low-level code, maintaining backward compatibility, and efficiently diagnosing hardware-software interactions. Navigating the vast and collaborative open-source community also requires effective communication and adherence to coding standards. These challenges can be addressed by actively participating in kernel mailing lists, leveraging advanced debugging tools, and continuously updating your knowledge through community resources. Being proactive in code reviews and engaging with other developers can also streamline problem-solving and ensure high-quality code contributions. Embracing collaborative best practices helps create robust and maintainable kernel modules.
What are the most commonly searched types of Linux Kernel jobs in Arizona? The most popular types of Linux Kernel jobs in Arizona are:
What job categories do people searching Linux Kernel jobs in Arizona look for? The top searched job categories for Linux Kernel jobs in Arizona are:
Infographic showing various Linux Kernel job openings in Arizona as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $138,909 per year, or $66.8 per hour.
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical

Tucson, AZ • On-site

Full-time

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


Job description

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics4 months ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.

The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost.

Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.What your day will look likeDevelop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layerDesign, build and maintain solutions that will be deployed on public and private clouds and local workstationsMaster distributed systems concepts such as observability, identity, tracingWork with both Kubernetes and machine-oriented open source applicationsCollaborate proactively with a distributed team of engineers, designers and product managersDebug issues and interact in public with upstream and Ubuntu communitiesGenerate and discuss ideas, and collaborate on finding good solutionsWhat we are looking for in youProfessional or academic software delivery using PythonExceptional academic track record from both high school and universityUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen pathConfidence to respectfully speak up, exchange feedback, and share ideas without hesitationTrack record of going above-and-beyond expectations to achieve outstanding resultsPassion for technology evidenced by personal projects and initiativesThe work ethic and confidence to shine alongside motivated colleaguesProfessional written and spoken English with excellent presentation skillsExperience with Linux (Debian or Ubuntu preferred)Excellent interpersonal skills, curiosity, flexibility, and accountabilityAppreciative of diversity, polite and effective in a multi-cultural, multi-national organisationThoughtfulness and self-motivationResult-oriented, with a personal drive to meet commitmentsAbility to travel twice a year, for company events up to two weeks longAdditional Skills That Would Be Nice To HaveThe following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.Hands-on experience with machine learning libraries, or tools.Proven track record of building highly automated machine learning solutions for the cloud.Experience with container technologies (Docker, LXD, Kubernetes, etc.)Experience with public clouds (AWS, Azure, Google Cloud)Working knowledge of cloud computingPassionate about software quality and testingExperience working on an open source projectWhat we offer colleaguesWe consider geographical location, experience, and performance in shaping compensation worldwide.

We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals.

We balance our programs to meet local needs and ensure fairness globally.Distributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleaguesPriority Pass, and travel upgrades for long haul company eventsAbout CanonicalCanonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company.

We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.Canonical is an equal opportunity employerWe are proud to foster a workplace free from discrimination.

Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Canonical by 2xSoftware Engineer - Solutions EngineeringSoftware Engineering Specialist - Human DataGreater Tucson Area $55 - $65 21 hours agoGolang System Software Engineer - Containers / VirtualisationSoftware Engineer - packaging - optimize Ubuntu ServerTucson, AZ $150,000 - $200,000 4 weeks agoSoftware Engineer - packaging - optimize Ubuntu Server for public cloudsSoftware Engineer - packaging - optimize Ubuntu ServerWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.J-18808-Ljbffr