Kubernetes + Rag Jobs in 2026

Kubernetes and Rag frequently appear together in AI job postings, with 253 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.

253
Job Count
$140K
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 253 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 184 jobs
AI Software Engineer 28 jobs
AI Architect 10 jobs
MLOps Engineer 7 jobs
Data Scientist 6 jobs
AI Agent Developer 5 jobs

Career Impact

Professionals who combine Kubernetes and Rag earn a median salary ceiling of $210K, compared to $217K for Kubernetes alone and $210K for Rag alone. This 2% 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
$217K
568 jobs
-4% vs combo
Kubernetes + Rag
$210K
253 jobs
Rag Only
$210K
929 jobs
-0% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 253 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 $140K to $210K based on 176 postings with disclosed compensation.
Jobs requiring both Kubernetes and Rag pay $210K on average (max), compared to $217K for Kubernetes alone and $210K for Rag alone. That represents a 2% discount for having both skills.
The most common roles requiring both Kubernetes and Rag are: AI/ML Engineer, AI Software Engineer, AI Architect, MLOps Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 4,318 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 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 253 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.