Docker + Gemini Jobs in 2026

Docker and Gemini frequently appear together in AI job postings, with 172 current openings requiring both skills. The most common role for this combination is Data Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

172
Job Count
$113K
Avg Min Salary
$204K
Avg Max Salary
Data Engineer
Most Common Role

Why Docker + Gemini?

AI job market dashboard showing open roles by category

Deploying LLM applications in production requires both Gemini expertise and Docker infrastructure skills. Docker provides the compute, scaling, and serving layer, while Gemini handles the AI application logic. The 172 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.

Top Roles Requiring Docker + Gemini

Data Engineer 114 jobs
AI/ML Engineer 44 jobs
Data Scientist 4 jobs
AI Software Engineer 3 jobs
AI Architect 2 jobs
MLOps Engineer 2 jobs

Career Impact

Professionals who combine Docker and Gemini earn a median salary ceiling of $204K, compared to $223K for Docker alone and $216K for Gemini alone. This 7% 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 Docker + Gemini

Salary Comparison: Combo vs Individual Skills

Docker Only
$223K
970 jobs
-8% vs combo
Docker + Gemini
$204K
172 jobs
Gemini Only
$216K
943 jobs
-6% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 172 positions require both Docker and Gemini skills. The most common role for this combination is Data Engineer.
Jobs requiring both Docker and Gemini pay an average of $113K to $204K based on 143 postings with disclosed compensation.
Jobs requiring both Docker and Gemini pay $204K on average (max), compared to $223K for Docker alone and $216K for Gemini alone. That represents a 7% discount for having both skills.
The most common roles requiring both Docker and Gemini are: Data Engineer, AI/ML Engineer, Data Scientist, AI Software Engineer. 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 172 job postings that list both Docker and Gemini 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.