AIOps Engineer Salary.
Across 30 U.S. cities.
$165,000
national median salary
$125,000 to $215,000. Last updated April 2026.
Highest Paying
$232,000
San Jose, CA
Best Purchasing Power
$172,000
Raleigh, NC
Lowest Paying
$147,000
Kansas City, MO
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average AIOps Engineer salary in the United States is $165,000 in 2026, with the full range spanning $125,000 at the 25th percentile to $215,000 at the 75th. San Jose pays the most at $232,000, while Raleigh offers the best purchasing power after cost-of-living adjustments. Salary scales with the complexity of production AI systems managed and depth of automation expertise.
AIOps Engineer salary by city
What you should know
Salary scales with the complexity of production AI systems managed and depth of automation expertise. Engineers supporting real-time inference at scale or multi-cloud deployments command premiums. Proficiency in Kubernetes, observability tooling, and incident response automation drives compensation above median.
Junior AIOps engineers start at $105,000 to $125,000, progressing to mid-level at $145,000 to $165,000. Senior engineers reach $185,000 to $215,000, while principal-level roles overseeing enterprise AI operations command $230,000 to $270,000 in total compensation.
Total compensation typically includes 15 to 25% annual bonus plus RSUs at larger tech firms. On-call stipends and infrastructure certification bonuses add $5,000 to $15,000 annually.