Kubernetes and Vector Search frequently appear together in AI job postings, with 48 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $198K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Vector Search appear together in 48 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 + Vector Search
AI/ML Engineer40 jobs
AI Software Engineer3 jobs
Data Scientist2 jobs
AI Architect1 jobs
LLM Engineer1 jobs
AI Product Manager1 jobs
Career Impact
Professionals who combine Kubernetes and Vector Search earn a median salary ceiling of
$198K, compared to $243K for Kubernetes alone and
$212K for Vector Search alone. This 13% 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.
Top Companies Hiring for Kubernetes + Vector Search
Based on our analysis of current AI job postings, 48 positions require both Kubernetes and Vector Search skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Vector Search pay an average of $140K to $198K based on 36 postings with disclosed compensation.
Jobs requiring both Kubernetes and Vector Search pay $198K on average (max), compared to $243K for Kubernetes alone and $212K for Vector Search alone. That represents a 13% discount for having both skills.
The most common roles requiring both Kubernetes and Vector Search are: AI/ML Engineer, AI Software Engineer, Data Scientist, 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 48 job postings that list both Kubernetes and Vector Search
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.
