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Every quarter we analyze thousands of job posts from LinuxCareers.com - a linux only job board. This removes noise from general platforms where "Linux" is just a checkbox.

The data reflects what employers actually write in job descriptions, not surveys or self-reported figures.

One thing you won't find in our skill rankings is Linux or Unix itself. Since every job on a Linux-only board assumes Linux knowledge, tracking it would be meaningless. We only flag specific distributions (such as Ubuntu or RHEL) when a job post explicitly mentions them.

Because the source is a Linux-focused board, you won't see generic IT or Windows roles polluting the results. Every data point is relevant to Linux careers.

Skills are ranked by how often they appear in job posts. But ranking does not mean "learn this first." A skill at #1 might appear everywhere because it's a general-purpose tool, while a skill at #15 might be the exact thing that defines your career track. Always check which tier a skill belongs to.

Skills are grouped into tiers based on coverage and lift. Lift measures how strongly skills cluster together beyond random chance. A lift of 1.0 means no special association. The higher the lift, the more tightly two skills are linked. High-lift pairs often define a specialization track.

Look at tiers to understand what's broadly expected vs. what defines a specialization track.

Example: Python appears in 60% of jobs (Tier 1) while Docker and Kubernetes each appear in about 25% (Tier 3). Python is broadly useful across roles, but Docker and Kubernetes have a lift of 3.0+ meaning they appear together 3x more often than chance. If a job lists Docker, it almost certainly lists Kubernetes. That tight pairing defines the infrastructure/platform track. A generalist needs Python; a specialist is identified by Docker + Kubernetes.

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Certifications are ranked by how frequently employers mention them in job posts. Not all certs carry equal weight. Compare what you see here to what certification vendors promote. You might be surprised.

Keep in mind that certification demand can cluster in specific role types. A cert that looks highly ranked might concentrate in one niche (such as security), while being irrelevant for infrastructure or DevOps roles. Always consider which career track a certification serves before investing time and money.

Example: CISSP might rank in the top 5 overall, but if most of those mentions come from security analyst roles, it won't help you as a DevOps engineer. An RHCE on the other hand targets infrastructure roles directly. Always cross-reference cert rankings with the career track you're targeting.

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Salaries are broken down by seniority and role. The median is the midpoint: half earn more, half earn less. Percentiles give you the range: the 25th percentile is what the lower quarter earns, the 75th is the upper quarter.

Example: Imagine a Senior SysAdmin role shows a median of $140k, a 25th percentile of $110k, and a 75th of $190k. That $80k spread tells you location, company size, and specialization create big variation even at the same seniority level. A narrow spread means pay is more predictable; a wide one means there's room to negotiate or relocate.

Not all postings disclose salary, so treat these figures as directional benchmarks rather than guarantees.

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The data is most useful when you approach it with a specific goal:

Job hunting?

Focus on Tier 1-2 skills and top certifications. These are what recruiters and automated filters screen for. Match your resume language to the skill names used in the data; employers search for "CI/CD" not "continuous integration pipelines."

Upskilling?

Look at Tier 3 track-defining skills. These signal specialization and separate you from generalists. Pick a career track (Infra, DevOps, Security, Data) and invest in the skills that cluster together within that track rather than spreading thin.

Negotiating salary?

Use the percentile range to understand where you sit. If you're at the 25th percentile for your seniority level, there's likely room to push. If you're already near the 75th, leverage may come from changing role type or track rather than asking for more in the same position.

Exploring career paths?

Use the skill pairs and lift scores to discover which skills naturally group together. This reveals career tracks you might not have considered. Sometimes a skill you already know is a gateway into a higher-paying specialization.

Benchmarking your team?

If you're a hiring manager, use the data to check whether your job descriptions align with market norms. Requiring too many Tier 3 skills narrows your candidate pool. Listing only Tier 1 skills makes your posting generic.

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Now that you know how to read the data, put it to work. Browse current Linux job openings and find a role that suits your skills and preferred career path.

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