Docker + Kubernetes Jobs in 2026

Docker and Kubernetes frequently appear together in AI job postings, with 311 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

311
Job Count
$132K
Avg Min Salary
$204K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Docker + Kubernetes?

AI job market dashboard showing open roles by category

Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. Docker and Kubernetes appear together in 311 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 Docker + Kubernetes

AI/ML Engineer 219 jobs
AI Software Engineer 46 jobs
MLOps Engineer 10 jobs
AI Architect 9 jobs
Data Scientist 8 jobs
Data Engineer 7 jobs

Career Impact

Professionals who combine Docker and Kubernetes earn a median salary ceiling of $204K, compared to $197K for Docker alone and $220K for Kubernetes 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 Docker + Kubernetes

Salary Comparison: Combo vs Individual Skills

Docker Only
$197K
445 jobs
+3% vs combo
Docker + Kubernetes
$204K
311 jobs
Kubernetes Only
$220K
559 jobs
-7% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 311 positions require both Docker and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and Kubernetes pay an average of $132K to $204K based on 222 postings with disclosed compensation.
Jobs requiring both Docker and Kubernetes pay $204K on average (max), compared to $197K for Docker alone and $220K for Kubernetes alone. That represents a 2% discount for having both skills.
The most common roles requiring both Docker and Kubernetes are: AI/ML Engineer, AI Software Engineer, MLOps Engineer, AI Architect. 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 311 job postings that list both Docker 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.