Kubernetes and Tensorflow frequently appear together in AI job postings, with 263 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $215K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Tensorflow appear together in 263 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 + Tensorflow
AI/ML Engineer204 jobs
AI Software Engineer16 jobs
Data Scientist13 jobs
MLOps Engineer11 jobs
AI Architect10 jobs
AI Product Manager2 jobs
Career Impact
Professionals who combine Kubernetes and Tensorflow earn a median salary ceiling of
$215K, compared to $243K for Kubernetes alone and
$223K for Tensorflow alone. This 8% 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, 263 positions require both Kubernetes and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Tensorflow pay an average of $145K to $215K based on 168 postings with disclosed compensation.
Jobs requiring both Kubernetes and Tensorflow pay $215K on average (max), compared to $243K for Kubernetes alone and $223K for Tensorflow alone. That represents a 8% discount for having both skills.
The most common roles requiring both Kubernetes and Tensorflow are: AI/ML Engineer, AI Software Engineer, Data Scientist, MLOps Engineer. 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 263 job postings that list both Kubernetes and Tensorflow
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.
