GCP and Kubernetes frequently appear together in AI job postings, with 124 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $218K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Multi-cloud and hybrid infrastructure skills are increasingly important for AI teams. GCP and Kubernetes appear together in 124 postings, typically at companies building portable ML pipelines or managing workloads across infrastructure layers. The most common role for this pair is AI/ML Engineer.
Top Roles Requiring GCP + Kubernetes
AI/ML Engineer72 jobs
Prompt Engineer13 jobs
MLOps Engineer13 jobs
LLM Engineer8 jobs
Data Engineer7 jobs
AI Software Engineer5 jobs
Career Impact
Professionals who combine GCP and Kubernetes earn a median salary ceiling of
$218K, compared to $230K for GCP alone and
$230K for Kubernetes alone. This 5% 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, 124 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 $218K based on 108 postings with disclosed compensation.
Jobs requiring both GCP and Kubernetes pay $218K on average (max), compared to $230K for GCP alone and $230K for Kubernetes alone. That represents a 5% discount for having both skills.
The most common roles requiring both GCP and Kubernetes are: AI/ML Engineer, Prompt Engineer, MLOps Engineer, LLM Engineer. 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 124 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.
