Azure + Docker Jobs in 2026

Azure and Docker frequently appear together in AI job postings, with 242 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $197K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

242
Job Count
$129K
Avg Min Salary
$197K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Azure + Docker?

AI job market dashboard showing open roles by category

Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. Azure and Docker appear together in 242 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 + Docker

AI/ML Engineer 180 jobs
AI Software Engineer 31 jobs
Data Scientist 9 jobs
MLOps Engineer 4 jobs
LLM Engineer 4 jobs
AI Architect 4 jobs

Career Impact

Professionals who combine Azure and Docker earn a median salary ceiling of $197K, compared to $206K for Azure alone and $203K for Docker alone. This 4% 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 + Docker

Salary Comparison: Combo vs Individual Skills

Azure Only
$206K
954 jobs
-4% vs combo
Azure + Docker
$197K
242 jobs
Docker Only
$203K
452 jobs
-3% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 242 positions require both Azure and Docker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Docker pay an average of $129K to $197K based on 165 postings with disclosed compensation.
Jobs requiring both Azure and Docker pay $197K on average (max), compared to $206K for Azure alone and $203K for Docker alone. That represents a 4% discount for having both skills.
The most common roles requiring both Azure and Docker 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 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 242 job postings that list both Azure and Docker 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.