Android Developer vs DevOps Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Android Developer
Build native applications for Android devices.
DevOps Engineer
Automate infrastructure, CI/CD pipelines, and cloud deployments.
Android Developer earns more on average โ the national median is $36,850/year (37%) higher than a DevOps Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
Android Developer vs DevOps Engineer โ Salary by City
National median figures in USD across top cities.
| City | Android Developer | DevOps Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $199,895 | $143,393 | Android +$56,502 |
| New York, NY | $162,536 | $119,390 | Android +$43,146 |
| Seattle, WA | $196,429 | $138,602 | Android +$57,827 |
| Austin, TX | $149,692 | $109,601 | Android +$40,091 |
| Chicago, IL | $146,963 | $106,405 | Android +$40,558 |
| Boston, MA | $172,594 | $130,457 | Android +$42,137 |
| London, UK | ยฃ106,023 | ยฃ75,853 | Android +$30,170 |
| Toronto, Canada | CA$183,297 | CA$135,262 | Android +$48,035 |
Frequently Asked Questions
Does a Android Developer or DevOps Engineer earn more?+
A Android Developer earns more on average. The national median salary for a Android Developer is $135,980/year, compared to $99,130/year for a DevOps Engineer โ a difference of $36,850 (37%).
Which has better career growth โ Android Developer or DevOps Engineer?+
Android Developer roles are growing at 18% YoY while DevOps Engineer demand is growing at 28% YoY. DevOps Engineer has stronger near-term demand growth.
Can you switch from Android Developer to DevOps Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ Android Developer or DevOps Engineer?+
DevOps Engineer has a lower AI automation risk (38% vs 42%). Based on Oxford Martin School and McKinsey 2023 analysis.