Kubernetes + Transformers Jobs in 2026

Kubernetes and Transformers frequently appear together in AI job postings, with 65 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $230K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

65
Job Count
$147K
Avg Min Salary
$230K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Kubernetes + Transformers?

AI job market dashboard showing open roles by category

Kubernetes and Transformers appear together in 65 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 + Transformers

AI/ML Engineer 44 jobs
Data Scientist 7 jobs
AI Software Engineer 5 jobs
AI Engineering Manager 3 jobs
MLOps Engineer 2 jobs
Research Engineer 1 jobs

Career Impact

Professionals who combine Kubernetes and Transformers earn a median salary ceiling of $230K, compared to $243K for Kubernetes alone and $207K for Transformers alone. This 3% premium 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 + Transformers

Salary Comparison: Combo vs Individual Skills

Kubernetes Only
$243K
1,171 jobs
-5% vs combo
Kubernetes + Transformers
$230K
65 jobs
Transformers Only
$207K
245 jobs
+11% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 65 positions require both Kubernetes and Transformers skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Transformers pay an average of $147K to $230K based on 47 postings with disclosed compensation.
Jobs requiring both Kubernetes and Transformers pay $230K on average (max), compared to $243K for Kubernetes alone and $207K for Transformers alone. That represents a 3% premium for having both skills.
The most common roles requiring both Kubernetes and Transformers are: AI/ML Engineer, Data Scientist, AI Software Engineer, AI Engineering Manager. 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 65 job postings that list both Kubernetes and Transformers 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.