Kubernetes + Transformers Jobs in 2026

Kubernetes and Transformers frequently appear together in AI job postings, with 60 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $243K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

60
Job Count
$147K
Avg Min Salary
$243K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Kubernetes + Transformers?

Kubernetes and Transformers appear together in 60 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 56 jobs
Data Scientist 2 jobs
AI Software Engineer 2 jobs

Career Impact

Professionals who combine Kubernetes and Transformers earn a median salary ceiling of $243K, compared to $228K for Kubernetes alone and $227K for Transformers alone. This 7% premium reflects the market values the integration of these two skills — employers pay more for candidates who can work across both rather than hiring separate specialists.

Top Companies Hiring for Kubernetes + Transformers

Salary Comparison: Combo vs Individual Skills

Kubernetes Only
$228K
792 jobs
+7% vs combo
Kubernetes + Transformers
$243K
60 jobs
Transformers Only
$227K
233 jobs
+7% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 60 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 $243K based on 45 postings with disclosed compensation.
Jobs requiring both Kubernetes and Transformers pay $243K on average (max), compared to $228K for Kubernetes alone and $227K for Transformers alone. That represents a 7% premium for having both skills.
The most common roles requiring both Kubernetes and Transformers are: AI/ML Engineer, Data Scientist, AI Software Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 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 60 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.