We analyzed salary data for six developer specializations across 12 countries. The pattern is consistent enough to be almost a rule, and the exceptions tell you more than the rule does.
DevOps engineers earn the most in 8 of the 12 countries we looked at. But in the US, Canada, and the UK, machine learning engineers already earn more. In Germany, Java developers beat both. And if you look at the companies hiring these engineers rather than the engineers themselves, specialization in enterprise services correlates with meaningfully higher quality scores than the most common service types.
Here's what the data actually shows.
The numbers
Here's how six developer specializations rank across the 12 countries, sorted by the top-earning specialization in each market.
| Country | #1 Specialization | Salary (USD) | #2 Specialization | Salary (USD) |
|---|---|---|---|---|
| Switzerland | DevOps | $118,000 | Full Stack | $94,000 |
| United States | ML Engineer | $124,980 | DevOps | $114,611 |
| Canada | ML Engineer | $72,658 | DevOps | $69,837 |
| United Kingdom | ML Engineer | $67,024 | DevOps | ~$63,000 |
| Germany | Java | $68,000 | DevOps | $64,000 |
| Australia | DevOps | $68,000 | Full Stack | $60,000 |
| Singapore | DevOps | $66,000 | Full Stack | $52,000 |
| Poland | DevOps | $44,000 | .NET | $35,000 |
| Bulgaria | DevOps | $30,000 | .NET | ~$25,000 |
| Brazil | DevOps | $27,000 | Full Stack | ~$20,000 |
| Mexico | DevOps | $23,000 | Full Stack | ~$19,000 |
| India | DevOps | ~$12,000 | ML Engineer | $12,118 |
Payscale, March 2026 snapshot. Converted to USD at fixed exchange rates. ML Engineer excluded from Switzerland (n=21), Singapore (n=14), Australia (n=48, suspicious rounding), and smaller markets due to insufficient sample size. Romania excluded from full analysis (anomalous DevOps figures, n=37). Vietnam excluded (currency format unresolvable).
DevOps still dominates, just not everywhere
Eight out of twelve countries. That's a strong enough signal to say: if you're optimizing for salary and you haven't chosen a specialization yet, DevOps is the safest bet in most markets.
The consistency across very different economies is what makes it interesting. Switzerland ($118k) and Bulgaria ($30k) are separated by a 4x ratio, but DevOps leads in both. The same holds for Singapore, Poland, Brazil, and Mexico. Infrastructure, CI/CD, cloud operations, and platform engineering are in demand regardless of whether you're in a premium or emerging market.
The gap between DevOps and the runner-up varies a lot, though. In Singapore, DevOps ($66k) beats Full Stack ($52k) by roughly $14k — a 27% premium over the runner-up. In Switzerland, DevOps beats Full Stack by $24,000 in absolute terms, though the gap compresses at the upper end of each range. The specialization decision and the location decision interact. You can't optimize one without considering the other.
Three markets where DevOps doesn't win
United States, Canada, United Kingdom: ML engineers earn more. In the US, the gap is $10,369, not enormous, but consistent across a sample of 1,191 respondents. That makes it one of the most reliable data points in this entire dataset. Canada (n=158) and the UK (n=142) show the same direction.
The gap is still relatively narrow. ML leads, but DevOps is extremely well compensated in these markets too. The choice between them is a roughly $10k decision in the US, not a $50k one, and other factors like job availability, team culture, and what you actually enjoy building probably matter more than the salary delta.
Germany: Java beats DevOps by roughly $4,000. The gap is narrow, but it's consistent with Germany's enterprise software ecosystem. SAP, Siemens, Deutsche Bank: Java remains the backbone of mission-critical systems across all of them. DevOps culture is growing there, but it hasn't translated into the same salary premium it commands elsewhere.
India: ML and DevOps are virtually tied at $12,118 vs approximately $12,000. A $176 difference is effectively noise. The signal here is that demand for ML engineering in India has pushed salaries to parity with infrastructure work, which is notable given how recently that would have been surprising.
What the company side of the market shows
Salary data tells you what individual engineers earn. It doesn't tell you how the market for software development companies is structured. We crossed this with data from GSC's proprietary database of 9,300+ software firms across 80+ countries.
Two findings worth flagging:
DevOps specialists are rarer than you'd expect. Only about 1% of companies in our database list DevOps as their primary service. By comparison, web development and e-commerce development are the dominant categories by volume. The scarcity of DevOps-specialized firms is consistent with the salary premium: when supply is concentrated, price follows.
The services that correlate with higher quality scores aren't the most common ones. GSC scores companies across six dimensions of observable reputation and delivery signals. When we look at median overall score by primary service, the ranking is:
| Primary Service | Median Overall Score |
|---|---|
| CRM Consulting | 4.1 |
| ERP Consulting | 4.0 |
| Custom Software Development | 4.1 |
| E-Commerce Development | 4.0 |
| Web Development | 3.9 |
The two most common service types, web development and e-commerce, score at the bottom. The enterprise-oriented specializations score at the top. The market appears to reward depth over volume, both in salaries for individual engineers and in quality signals for the companies that employ them.
Note: GSC's overall score measures observable reputation signals including reviews, domain authority, and declared specialization. It doesn't measure verified delivery quality. Treat these as proxies, not guarantees.
What this means if you're choosing a specialization
DevOps is the safest bet in most markets. Eight out of twelve countries, consistent across emerging and premium economies. If you're early in your career or evaluating a pivot, the demand is broad enough that the premium holds across very different contexts.
ML engineering has already overtaken DevOps in anglophone markets. If you're in the US, Canada, or the UK, or targeting remote work for companies in those markets, ML is now the higher-paying specialization. The gap isn't dramatic, but it's real and consistent.
Germany rewards Java more than most markets do. If Germany is a possibility for you and you're already a Java developer, the data suggests you don't need to pivot to DevOps to maximize earnings. The premium just isn't there the way it is elsewhere.
Location amplifies specialization more than specialization changes location. The Switzerland-to-India ratio applies across all specializations. Choosing DevOps over Full Stack in Singapore is worth roughly $14k a year. Choosing DevOps over Full Stack in India is worth far less in absolute terms. The location decision is doing more work than the specialization decision in most cases.
Methodology
Data source: Payscale, March 2026 snapshot. Analysis covers six developer specializations (DevOps Engineer, Machine Learning Engineer, Full Stack Developer, Java Developer, Software Engineer, and .NET Developer) across 12 countries: US, UK, Germany, Canada, Australia, Singapore, India, Poland, Switzerland, Mexico, Bulgaria, and Brazil.
ML Engineer figures used only for countries with sample sizes above 100: US (n=1,191), Canada (n=158), UK (n=142), Germany (n=157), India (n=274). Romania excluded from full analysis (DevOps sample anomalous, n=37). Vietnam excluded from dataset (currency format unresolvable). All USD conversions use fixed exchange rates from March 2026.
Company-side data from GSC's proprietary database of 9,300+ software firms across 80+ countries, snapshot April 2026. Overall score is a composite of observable reputation signals. It measures digital presence and third-party reviews, not verified delivery outcomes. Methodology available at globalsoftwarecompanies.com/methodology.
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