Kubernetes and Rag frequently appear together in AI job postings, with 247 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $214K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Rag appear together in 247 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 Engineer182 jobs
AI Software Engineer30 jobs
AI Architect12 jobs
Data Engineer5 jobs
AI Agent Developer5 jobs
MLOps Engineer4 jobs
Career Impact
Professionals who combine Kubernetes and Rag earn a median salary ceiling of
$214K, compared to $220K for Kubernetes alone and
$205K for Rag alone. This 0% premium
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 247 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 $141K to $214K based on 170 postings with disclosed compensation.
Jobs requiring both Kubernetes and Rag pay $214K on average (max), compared to $220K for Kubernetes alone and $205K for Rag alone. That represents a 0% premium for having both skills.
The most common roles requiring both Kubernetes and Rag are: AI/ML Engineer, AI Software Engineer, AI Architect, Data Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 11,520 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of October 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 247 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.
