Gcp + Kubernetes Jobs in 2026

Gcp and Kubernetes frequently appear together in AI job postings, with 591 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.

591
Job Count
$137K
Avg Min Salary
$230K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Gcp + Kubernetes?

AI job market dashboard showing open roles by category

Gcp and Kubernetes appear together in 591 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 Gcp + Kubernetes

AI/ML Engineer 340 jobs
Data Engineer 115 jobs
AI Software Engineer 75 jobs
MLOps Engineer 27 jobs
AI Architect 14 jobs
Data Scientist 8 jobs

Career Impact

Professionals who combine Gcp and Kubernetes earn a median salary ceiling of $230K, compared to $231K for Gcp alone and $243K for Kubernetes 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 Gcp + Kubernetes

Salary Comparison: Combo vs Individual Skills

Gcp Only
$231K
2,247 jobs
-0% vs combo
Gcp + Kubernetes
$230K
591 jobs
Kubernetes Only
$243K
1,171 jobs
-5% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 591 positions require both Gcp and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gcp and Kubernetes pay an average of $137K to $230K based on 465 postings with disclosed compensation.
Jobs requiring both Gcp and Kubernetes pay $230K on average (max), compared to $231K for Gcp alone and $243K for Kubernetes alone. That represents a 3% discount for having both skills.
The most common roles requiring both Gcp and Kubernetes are: AI/ML Engineer, Data Engineer, AI Software Engineer, 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 591 job postings that list both Gcp and Kubernetes 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.