Kubernetes + SageMaker Jobs in 2026

Kubernetes and SageMaker frequently appear together in AI job postings, with 50 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.

50
Job Count
$114K
Avg Min Salary
$210K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Kubernetes + SageMaker?

Kubernetes and SageMaker appear together in 50 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 Engineer 43 jobs
LLM Engineer 3 jobs
AI Software Engineer 2 jobs
Data Scientist 1 jobs
MLOps Engineer 1 jobs

Career Impact

Professionals who combine Kubernetes and SageMaker earn a median salary ceiling of $210K, compared to $230K for Kubernetes alone and $201K for SageMaker alone. This 3% 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 Kubernetes + SageMaker

Salary Comparison: Combo vs Individual Skills

Kubernetes Only
$230K
230 jobs
-9% vs combo
Kubernetes + SageMaker
$210K
50 jobs
SageMaker Only
$201K
135 jobs
+4% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 50 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 $114K to $210K based on 48 postings with disclosed compensation.
Jobs requiring both Kubernetes and SageMaker pay $210K on average (max), compared to $230K for Kubernetes alone and $201K for SageMaker alone. That represents a 3% discount for having both skills.
The most common roles requiring both Kubernetes and SageMaker are: AI/ML Engineer, LLM Engineer, AI Software Engineer, Data Scientist. 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 50 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.