Docker + Gemini Jobs in 2026

Docker and Gemini 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 $225K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

34
Job Count
$152K
Avg Min Salary
$225K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Docker + Gemini?

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 34 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.

Top Roles Requiring Docker + Gemini

AI/ML Engineer 29 jobs
AI Software Engineer 3 jobs
Data Scientist 2 jobs

Career Impact

Professionals who combine Docker and Gemini earn a median salary ceiling of $225K, compared to $212K for Docker alone and $200K for Gemini alone. This 9% 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.

Top Companies Hiring for Docker + Gemini

Salary Comparison: Combo vs Individual Skills

Docker Only
$212K
675 jobs
+6% vs combo
Docker + Gemini
$225K
34 jobs
Gemini Only
$200K
269 jobs
+12% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 34 positions require both Docker and Gemini skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and Gemini pay an average of $152K to $225K based on 19 postings with disclosed compensation.
Jobs requiring both Docker and Gemini pay $225K on average (max), compared to $212K for Docker alone and $200K for Gemini alone. That represents a 9% premium for having both skills.
The most common roles requiring both Docker and Gemini are: AI/ML Engineer, AI Software Engineer, Data Scientist. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 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 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.