Kubernetes and Salesforce frequently appear together in AI job postings, with 140 current openings requiring both skills. The most common role for this combination is Data Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Salesforce appear together in 140 current AI job postings, most commonly for Data 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 + Salesforce
Data Engineer115 jobs
AI/ML Engineer17 jobs
AI Software Engineer4 jobs
Research Scientist1 jobs
AI Safety1 jobs
AI Product Manager1 jobs
Career Impact
Professionals who combine Kubernetes and Salesforce earn a median salary ceiling of
$210K, compared to $243K for Kubernetes alone and
$181K for Salesforce alone. This 1% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 140 positions require both Kubernetes and Salesforce skills. The most common role for this combination is Data Engineer.
Jobs requiring both Kubernetes and Salesforce pay an average of $119K to $210K based on 128 postings with disclosed compensation.
Jobs requiring both Kubernetes and Salesforce pay $210K on average (max), compared to $243K for Kubernetes alone and $181K for Salesforce alone. That represents a 1% discount for having both skills.
The most common roles requiring both Kubernetes and Salesforce are: Data Engineer, AI/ML Engineer, AI Software Engineer, Research Scientist. 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 140 job postings that list both Kubernetes and Salesforce
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.
