Kubernetes and Pinecone frequently appear together in AI job postings, with 75 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $207K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Pinecone appear together in 75 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 Engineer53 jobs
AI Software Engineer11 jobs
AI Engineering Manager4 jobs
AI Architect3 jobs
LLM Engineer2 jobs
Data Engineer1 jobs
Career Impact
Professionals who combine Kubernetes and Pinecone earn a median salary ceiling of
$207K, compared to $243K for Kubernetes alone and
$143K for Pinecone alone. This 8% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 75 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 $123K to $207K based on 46 postings with disclosed compensation.
Jobs requiring both Kubernetes and Pinecone pay $207K on average (max), compared to $243K for Kubernetes alone and $143K for Pinecone alone. That represents a 8% premium for having both skills.
The most common roles requiring both Kubernetes and Pinecone are: AI/ML Engineer, AI Software Engineer, AI Engineering Manager, AI Architect. 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 75 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.
