Gemini and Kubernetes frequently appear together in AI job postings, with 34 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $189K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both Gemini expertise and Kubernetes infrastructure skills. Kubernetes provides the compute, scaling, and serving layer, while Gemini handles the AI application logic. The 34 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Gemini + Kubernetes
AI/ML Engineer27 jobs
AI Software Engineer6 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Gemini and Kubernetes earn a median salary ceiling of
$189K, compared to $197K for Gemini alone and
$220K for Kubernetes alone. This 9% 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, 34 positions require both Gemini and Kubernetes skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Kubernetes pay an average of $139K to $189K based on 24 postings with disclosed compensation.
Jobs requiring both Gemini and Kubernetes pay $189K on average (max), compared to $197K for Gemini alone and $220K for Kubernetes alone. That represents a 9% discount for having both skills.
The most common roles requiring both Gemini and Kubernetes are: AI/ML Engineer, AI Software Engineer, AI Architect. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 34 job postings that list both Gemini 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.
