AWS + Kubernetes Jobs in 2026

AWS and Kubernetes frequently appear together in AI job postings, with 166 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $220K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

166
Job Count
$139K
Avg Min Salary
$220K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why AWS + Kubernetes?

Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. AWS and Kubernetes appear together in 166 postings, typically at companies building portable ML pipelines or managing workloads across infrastructure layers. The most common role for this pair is AI/ML Engineer.

Top Roles Requiring AWS + Kubernetes

AI/ML Engineer 94 jobs
MLOps Engineer 18 jobs
Prompt Engineer 17 jobs
LLM Engineer 12 jobs
Data Engineer 8 jobs
Data Scientist 6 jobs

Career Impact

Professionals who combine AWS and Kubernetes earn a median salary ceiling of $220K, compared to $231K for AWS alone and $230K for Kubernetes alone. This 5% 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 AWS + Kubernetes

Salary Comparison: Combo vs Individual Skills

AWS Only
$231K
1,123 jobs
-5% vs combo
AWS + Kubernetes
$220K
166 jobs
Kubernetes Only
$230K
230 jobs
-4% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 166 positions require both AWS and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both AWS and Kubernetes pay an average of $139K to $220K based on 141 postings with disclosed compensation.
Jobs requiring both AWS and Kubernetes pay $220K on average (max), compared to $231K for AWS alone and $230K for Kubernetes alone. That represents a 5% discount for having both skills.
The most common roles requiring both AWS and Kubernetes are: AI/ML Engineer, MLOps Engineer, Prompt Engineer, LLM Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 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 166 job postings that list both AWS and Kubernetes 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.