Kubernetes and Pinecone 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 $188K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Pinecone appear together in 34 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 + Pinecone
AI/ML Engineer23 jobs
AI Software Engineer4 jobs
AI Agent Developer3 jobs
LLM Engineer1 jobs
Data Engineer1 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Kubernetes and Pinecone earn a median salary ceiling of
$188K, compared to $220K for Kubernetes alone and
$204K for Pinecone alone. This 12% 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 Kubernetes and Pinecone skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Pinecone pay an average of $136K to $188K based on 17 postings with disclosed compensation.
Jobs requiring both Kubernetes and Pinecone pay $188K on average (max), compared to $220K for Kubernetes alone and $204K for Pinecone alone. That represents a 12% discount for having both skills.
The most common roles requiring both Kubernetes and Pinecone are: AI/ML Engineer, AI Software Engineer, AI Agent Developer, LLM Engineer. 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 Kubernetes and Pinecone
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.
