Azure and Docker frequently appear together in AI job postings, with 96 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.
Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. Azure and Docker appear together in 96 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 Engineer44 jobs
MLOps Engineer16 jobs
LLM Engineer10 jobs
AI Software Engineer10 jobs
Prompt Engineer8 jobs
Data Scientist4 jobs
Career Impact
Professionals who combine Azure and Docker earn a median salary ceiling of
$209K, compared to $207K for Azure alone and
$215K for Docker 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.
Based on our analysis of current AI job postings, 96 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 $140K to $209K based on 68 postings with disclosed compensation.
Jobs requiring both Azure and Docker pay $209K on average (max), compared to $207K for Azure alone and $215K for Docker alone. That represents a 1% discount for having both skills.
The most common roles requiring both Azure and Docker are: AI/ML Engineer, MLOps Engineer, LLM Engineer, AI Software 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 96 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.
