Docker + Kubernetes Jobs in 2026

Docker and Kubernetes frequently appear together in AI job postings, with 271 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $205K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

271
Job Count
$139K
Avg Min Salary
$205K
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 271 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 181 jobs
AI Software Engineer 47 jobs
Data Scientist 17 jobs
MLOps Engineer 11 jobs
AI Agent Developer 6 jobs
AI Architect 4 jobs

Career Impact

Professionals who combine Docker and Kubernetes earn a median salary ceiling of $205K, compared to $195K for Docker alone and $220K for Kubernetes alone. This 1% 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
$195K
374 jobs
+5% vs combo
Docker + Kubernetes
$205K
271 jobs
Kubernetes Only
$220K
441 jobs
-7% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 271 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 $139K to $205K based on 181 postings with disclosed compensation.
Jobs requiring both Docker and Kubernetes pay $205K on average (max), compared to $195K for Docker alone and $220K for Kubernetes alone. That represents a 1% discount for having both skills.
The most common roles requiring both Docker and Kubernetes are: AI/ML Engineer, AI Software Engineer, Data Scientist, MLOps Engineer. 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 271 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.