Average Development Operations (DevOps) Engineer with Red Hat Ansible Skills Salary

$86,999
Avg. SalaryShow Hourly Rate
$5,087
Bonus
$7,500
Profit Sharing
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The average salary for a Development Operations (DevOps) Engineer with Red Hat Ansible skills is $86,999.
10%
$62k
MEDIAN
$87k
90%
$124k
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Salary
$62k - $124k
Bonus
$1k - $12k
Profit Sharing
$0 - $8k
Total Pay
$62k - $128k
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What Do Development Operations (DevOps) Engineers Do?

Development Operations (DevOps) Engineer Tasks
  • Research new technologies that will improve efficiency and effectiveness.
  • Implement highly scalable applications.
  • Integrate infrastructure builds with application deployment processes.
  • Analyze, design and evaluate automation scripts and systems.

Development Operations (DevOps) Engineer Job Listings

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What Are Popular Skills for Development Operations (DevOps) Engineers?

Skills in Development Operations (DevOps), Amazon Web Services (AWS), Linux, Automation Scripting and Python are correlated to pay that is above average.

What is the Pay by Experience Level for Development Operations (DevOps) Engineers?

An early career Development Operations (DevOps) Engineer with 1-4 years of experience earns an average total compensation (includes tips, bonus, and overtime pay) of $84,187 based on 46 salaries. A mid-career Development Operations (DevOps) Engineer with 5-9 years of experience earns an average total compensation of $94,000 based on 21 salaries. An experienced Development Operations (DevOps) Engineer with 10-19 years of experience earns an average total compensation of $111,860 based on 12 salaries.

Pay Difference by Location

Learn more about cost of living by city.
Employees with Development Operations (DevOps) Engineer in their job title in New York, New York earn an average of 37.6% more than the national average. These job titles also find higher than average salaries in San Francisco, California (26.4% more) and Portland, Oregon (16.6% more). The lowest salaries can be found in Chicago, Illinois (29.8% less).

Years of Experience

This data is based on 79 survey responses.
Early Career
58.2%
Mid Career
26.6%
Experienced
15.2%