Docker + Kubernetes Jobs in 2026

Docker and Kubernetes frequently appear together in AI job postings, with 337 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $208K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

337
Job Count
$139K
Avg Min Salary
$208K
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 337 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 242 jobs
AI Software Engineer 46 jobs
MLOps Engineer 11 jobs
Data Scientist 8 jobs
Data Engineer 6 jobs
LLM Engineer 5 jobs

Career Impact

Professionals who combine Docker and Kubernetes earn a median salary ceiling of $208K, compared to $203K for Docker alone and $217K 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
$203K
452 jobs
+2% vs combo
Docker + Kubernetes
$208K
337 jobs
Kubernetes Only
$217K
568 jobs
-4% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 337 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 $208K based on 238 postings with disclosed compensation.
Jobs requiring both Docker and Kubernetes pay $208K on average (max), compared to $203K for Docker alone and $217K 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, MLOps Engineer, Data Scientist. 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 337 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.