DEV Community: Global Software Companies Team

DevOps Leads Developer Salaries in Most Countries. Except Where ML Already Took Over

Global Software Companies Team — Thu, 23 Apr 2026 09:53:31 +0000

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.

4,552 Developers Called Themselves AI Developers in 2018. In 2025, Only 320 Did

Global Software Companies Team — Thu, 23 Apr 2026 09:47:28 +0000

In the 2018 Stack Overflow Developer Survey, 4,552 developers identified themselves as AI developers. By 2025 that number was 320 -- a 93% collapse over seven years. The counterintuitive part: the ones still claiming the title are earning more than ever. Median AI developer salary jumped 32% in a single year, the largest single-year wage move across any specialization we tracked from 2024 to 2025.

A category that's simultaneously disappearing and commanding premium pay is an unusual pattern worth understanding.

The AI Developer Arc, 2018-2025

The year-by-year picture from the Stack Overflow survey series:

Year	Respondents	Median Salary (USD)
2018	4,552	$61,194
2019	5,610	$60,000
2020	3,764	$55,217
2021	5,434	$54,049
2022	3,710	$64,500
2023	4,117	$74,963
2024	2,433	$64,444
2025	320	$85,230

Three things stand out.

The collapse accelerated dramatically in 2024-2025. From 2018 through 2024, the AI developer count fluctuated between roughly 2,400 and 5,600 -- noisy but bounded. Between 2024 and 2025 the category lost nearly 87% of its self-identified population in a single year.

Pay trajectory was flat-ish until late. Through 2021 the median drifted downward from the low-$60s to the mid-$50s -- effectively declining in real terms. 2022 saw the first meaningful step up. 2025 produced the biggest single-year jump in the series: +32% year-over-year to $85,230.

The small-sample caveat matters. 320 respondents is below the threshold we'd normally use for a representative global median in a developer specialization. Treat the 2025 figure as directionally informative, not definitive -- the trend is real, but the specific dollar value may shift when the 2026 survey lands.

Meanwhile, DevOps Went the Other Way

In 2024, DevOps Services had 586 Stack Overflow respondents globally -- too few to report as a representative median. In 2025, DevOps had 13,010 respondents. That's a 22x increase in a single year.

Unlike AI, DevOps now has a sample large enough to support a market-representative median: $84,691. Here's the 2025 ranking across specializations with 2,000 or more respondents:

Specialization	2025 Median	Respondents
Cloud Consulting	$90,000	12,210
DevOps Services	$84,691	13,010
Mobile App Development	$81,000	3,605
Web Development	$80,254	17,989
IoT Development	$80,050	16,529
API Development	$80,000	9,924
Custom Software Development	$75,943	12,625
E-Commerce Development	$65,000	3,823

AI Development (n=320) and Cybersecurity (n=387) fall below the 2,000-respondent threshold and are excluded from this ranking. Blockchain Development has no 2025 figures in the survey series.

Two specializations, opposite trajectories. DevOps consolidated into a clearly-named category that engineers increasingly identify with. AI dissolved.

Why One Category Grew and One Dissolved

The data doesn't explain the cause of the collapse. But there are a few hypotheses worth considering.

AI work has become ambient. In 2020, "I'm an AI developer" meant you worked on ML pipelines, model training, or MLOps -- a discrete set of responsibilities that looked different from standard backend or data work. In 2025, every backend developer integrates LLMs, every data engineer builds ML features, and most frontend developers use Copilot or Cursor daily. Stack Overflow's 2024 AI survey reported roughly 76% of professional developers using or planning to use AI tools in their development process. The work has spread into every other category, and the specialization label has lost much of its distinguishing power.

DevOps didn't dissolve because the tooling stayed specialized. Platform engineering, Kubernetes operations, CI/CD pipelines, and cloud cost optimization remain a discrete career track with specialized tools and identifiable responsibilities. A developer can "use" DevOps the way they now "use" AI, but the core work and the specialist title haven't collapsed into every other role.

Survey taxonomy may have shifted. Stack Overflow periodically refines its category definitions. If the 2025 survey restructured how AI developers self-identify -- for example, folding "AI developer" into a broader "developer using AI tools" bucket -- that alone could drive a significant share of the count drop. We can't cleanly separate category redefinition from genuine dissolution in the data as published.

The remaining AI developers look more senior. When a specialization disappears into general developer roles but a core group keeps the title, that core tends to skew toward specialists still doing distinct AI-specific work -- research roles, core ML engineering, foundation model training. A smaller, more senior pool commanding premium pay is consistent with the jump to $85,230 on just 320 respondents.

What This Means If You're a Developer

If you've been holding out for "AI developer" as a distinct career title, it's a shrinking pond. Not necessarily a worse one -- pay is rising -- but the number of people calling themselves AI developers is falling fast.

The generalist developer who uses AI well is the new default. The skill premium hasn't disappeared, but it's being absorbed into baseline expectations for all software engineers rather than concentrating in a specialist title.

If you want the specialist track, expect it narrower and more competitive. The 320 respondents in 2025 likely skew toward senior ML engineers, researchers, and core AI infrastructure roles. Pay reflects that. So does the competition.

DevOps reads as a category where scale and specialization coexist. 13,010 respondents is a meaningful population, and DevOps sits near the top of the pay ranking. If you're choosing between deepening into AI specialization versus platform engineering, DevOps is the larger addressable role market right now.

What This Doesn't Tell You

It doesn't isolate the cause of the collapse. Category dissolution and survey taxonomy changes are both plausible, and both probably contribute. The data shows the effect but not the cleanly-separable cause.

It doesn't predict what happens next. If the 2026 survey shows AI developer count rebounding, the dissolution hypothesis weakens. If it stays below 500, the pattern is real. Worth watching.

Salary data is self-reported and self-selected. Stack Overflow's survey skews toward developers who choose to participate and who communicate in English. Global medians are directional, not authoritative.

The small-sample caveat for AI in 2025 is a real limit. An $85,230 median on n=320 has wide confidence bounds. The trend direction is defensible; the specific figure is not precise.

Methodology

Salary and respondent-count data is from the 2018-2025 Stack Overflow Developer Survey editions. For the 2025 cross-specialization ranking, we included only categories with 2,000 or more respondents -- the standard threshold for reporting statistically representative global medians. AI Development (n=320), Cybersecurity (n=387), and Blockchain Development (no 2025 data) fall below this threshold and are excluded from the cross-specialization ranking.

Historical AI Development figures (2018-2024) come from the same survey series. The 2024 figures were above the 2,000-threshold; the 2025 figure is reported here because the sample collapse itself is the story, not because the figure meets our standard inclusion threshold.

All figures are global medians in USD. Survey respondents are self-selected and skew toward English-speaking markets. Treat these figures as directional benchmarks, not definitive compensation data.