Kubernetes and Sagemaker frequently appear together in AI job postings, with 47 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $222K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Sagemaker appear together in 47 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Kubernetes + Sagemaker
AI/ML Engineer32 jobs
Data Scientist7 jobs
AI Software Engineer5 jobs
MLOps Engineer3 jobs
Career Impact
Professionals who combine Kubernetes and Sagemaker earn a median salary ceiling of
$222K, compared to $220K for Kubernetes alone and
$203K for Sagemaker alone. This 5% premium
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, 47 positions require both Kubernetes and Sagemaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Sagemaker pay an average of $147K to $222K based on 32 postings with disclosed compensation.
Jobs requiring both Kubernetes and Sagemaker pay $222K on average (max), compared to $220K for Kubernetes alone and $203K for Sagemaker alone. That represents a 5% premium for having both skills.
The most common roles requiring both Kubernetes and Sagemaker are: AI/ML Engineer, Data Scientist, AI Software Engineer, MLOps Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 47 job postings that list both Kubernetes and Sagemaker
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.
