Kubernetes Salaries
The average salary for Kubernetes jobs is $184.5k – $280.7k per year across 375 jobs. Pay ranges from $157.2k – $260.4k for Mid Level roles to $252.4k – $359.3k at the Director level.
Median salary
$225k
Based on 375 jobs · 3% more than the average salary on Inference Jobs
25th percentile
$150k
Average
$232.6k
75th percentile
$340k
Kubernetes salary by seniority
| Seniority | Avg. salary | Jobs | vs Avg. on Inference Jobs |
|---|---|---|---|
| Mid Level | $157.2k – $260.4k | 89 | +7% |
| Senior | $189.5k – $283.7k | 273 | -1% |
| Director | $252.4k – $359.3k | 4 | +11% |
Top companies for Kubernetes salaries
10 companies hiring for Kubernetes roles, ranked by average salary.
CoreWeave
Avg. $148.5k – $216.3k · 95 jobs
NVIDIA
Avg. $178.8k – $323.5k · 50 jobs
Crusoe
Avg. $180.5k – $220.2k · 37 jobs
Applied Intuition
Avg. $144.7k – $236.4k · 23 jobs
xAI
Avg. $180.2k – $412.6k · 23 jobs
Anthropic
Avg. $313.2k – $398.8k · 21 jobs
Scale
Avg. $200.5k – $279.5k · 21 jobs
OpenAI
Avg. $251.8k – $378.2k · 16 jobs
Together AI
Avg. $168.5k – $245k · 13 jobs
Replit
Avg. $197k – $297k · 10 jobs
Kubernetes salaries by location
Average Kubernetes salaries across 14 locations.
San Francisco
Avg. $213.4k – $292.9k · 134 jobs
Livingston
Avg. $150.0k – $220.8k · 55 jobs
Santa Clara
Avg. $185.7k – $337.4k · 43 jobs
Sunnyvale
Avg. $157k – $241.2k · 32 jobs
Palo Alto
Avg. $181.0k – $421.4k · 21 jobs
New York City
Avg. $188.2k – $276.0k · 13 jobs
Foster City
Avg. $197k – $297k · 10 jobs
London
Avg. $185.5k – $239.0k · 8 jobs
Bellevue
Avg. $170.1k – $240.2k · 6 jobs
London
Avg. $152.9k – $204.0k · 4 jobs
Related titles
Top paying titles across 6 titles.
Software Engineering
Avg. $196.3k – $313.3k · 510 jobs
DevOps
Avg. $182.7k – $283.5k · 201 jobs
Hardware Engineering
Avg. $152.5k – $308.9k · 201 jobs
Infrastructure Engineering
Avg. $202.2k – $316.4k · 187 jobs
Machine Learning Engineer
Avg. $209.1k – $344.9k · 162 jobs
Software Engineer
Avg. $190.5k – $311.4k · 161 jobs
Related skills
Kubernetes salary FAQs
All salary figures are normalized to USD annual equivalents. Averages are based on published jobs with salary data and filtered for statistical outliers.