Azure + Kubernetes Jobs in 2026

Azure and Kubernetes frequently appear together in AI job postings, with 270 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $209K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

270
Job Count
$135K
Avg Min Salary
$209K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Azure + Kubernetes?

AI job market dashboard showing open roles by category

Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. Azure and Kubernetes appear together in 270 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 Azure + Kubernetes

AI/ML Engineer 201 jobs
AI Software Engineer 32 jobs
AI Architect 11 jobs
Data Scientist 8 jobs
MLOps Engineer 6 jobs
Data Engineer 4 jobs

Career Impact

Professionals who combine Azure and Kubernetes earn a median salary ceiling of $209K, compared to $197K for Azure alone and $220K for Kubernetes 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.

Top Companies Hiring for Azure + Kubernetes

Salary Comparison: Combo vs Individual Skills

Azure Only
$197K
972 jobs
+6% vs combo
Azure + Kubernetes
$209K
270 jobs
Kubernetes Only
$220K
559 jobs
-5% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 270 positions require both Azure and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Kubernetes pay an average of $135K to $209K based on 190 postings with disclosed compensation.
Jobs requiring both Azure and Kubernetes pay $209K on average (max), compared to $197K for Azure alone and $220K for Kubernetes alone. That represents a 0% premium for having both skills.
The most common roles requiring both Azure and Kubernetes are: AI/ML Engineer, AI Software Engineer, AI Architect, Data Scientist. 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 270 job postings that list both Azure 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.