Kubernetes + Rag Jobs in 2026

Kubernetes and Rag frequently appear together in AI job postings, with 194 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

194
Job Count
$138K
Avg Min Salary
$210K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Kubernetes + Rag?

AI job market dashboard showing open roles by category

Kubernetes and Rag appear together in 194 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.

Top Roles Requiring Kubernetes + Rag

AI/ML Engineer 131 jobs
AI Software Engineer 39 jobs
Data Scientist 7 jobs
AI Agent Developer 6 jobs
AI Architect 4 jobs
AI Product Manager 3 jobs

Career Impact

Professionals who combine Kubernetes and Rag earn a median salary ceiling of $210K, compared to $220K for Kubernetes alone and $214K for Rag alone. This 3% discount reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.

Top Companies Hiring for Kubernetes + Rag

Salary Comparison: Combo vs Individual Skills

Kubernetes Only
$220K
441 jobs
-4% vs combo
Kubernetes + Rag
$210K
194 jobs
Rag Only
$214K
855 jobs
-2% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 194 positions require both Kubernetes and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Rag pay an average of $138K to $210K based on 123 postings with disclosed compensation.
Jobs requiring both Kubernetes and Rag pay $210K on average (max), compared to $220K for Kubernetes alone and $214K for Rag alone. That represents a 3% discount for having both skills.
The most common roles requiring both Kubernetes and Rag are: AI/ML Engineer, AI Software Engineer, Data Scientist, AI Agent Developer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.

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Methodology

Skill co-occurrence data is derived from 194 job postings that list both Kubernetes and Rag as required or preferred skills. Salary data includes only postings with disclosed compensation ranges. Data is updated weekly from major job boards and company career pages.