Kubernetes and Sagemaker frequently appear together in AI job postings, with 119 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Sagemaker appear together in 119 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 Engineer88 jobs
AI Software Engineer13 jobs
MLOps Engineer10 jobs
AI Architect3 jobs
AI Product Manager2 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Kubernetes and Sagemaker earn a median salary ceiling of
$210K, compared to $243K for Kubernetes alone and
$239K for Sagemaker alone. This 13% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 119 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 $142K to $210K based on 72 postings with disclosed compensation.
Jobs requiring both Kubernetes and Sagemaker pay $210K on average (max), compared to $243K for Kubernetes alone and $239K for Sagemaker alone. That represents a 13% discount for having both skills.
The most common roles requiring both Kubernetes and Sagemaker are: AI/ML Engineer, AI Software Engineer, MLOps Engineer, AI Architect. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 119 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.
