Azure + Kubernetes Jobs in 2026

Azure and Kubernetes frequently appear together in AI job postings, with 132 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $214K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

132
Job Count
$133K
Avg Min Salary
$214K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Azure + Kubernetes?

Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. Azure and Kubernetes appear together in 132 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 80 jobs
MLOps Engineer 16 jobs
Prompt Engineer 13 jobs
LLM Engineer 9 jobs
Data Scientist 5 jobs
AI Software Engineer 5 jobs

Career Impact

Professionals who combine Azure and Kubernetes earn a median salary ceiling of $214K, compared to $207K for Azure alone and $230K 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 Azure + Kubernetes

Salary Comparison: Combo vs Individual Skills

Azure Only
$207K
524 jobs
+4% vs combo
Azure + Kubernetes
$214K
132 jobs
Kubernetes Only
$230K
230 jobs
-7% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 132 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 $133K to $214K based on 108 postings with disclosed compensation.
Jobs requiring both Azure and Kubernetes pay $214K on average (max), compared to $207K for Azure alone and $230K for Kubernetes alone. That represents a 2% discount for having both skills.
The most common roles requiring both Azure 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 132 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.