It's interesting how (according to these charts) Bengaluru alone has more software engineering openings than the entire USA, and NYC has much more tech jobs than SF, on par with Pune.<p>This, and the absence of .NET technologies from the list (as noted elsewhere in the thread) makes me take this whole article with a large grain of salt.
India has a huge fake jobs problem. I think it is because of the number of "HR consultants" who constantly need to refresh their databases with "fresh" resumes. I've seen the same jobs being posted for over 8 years with no change whatsoever other than the keyword updates.
Quickly checking db, SF bay area has quite a bit more than NYC. There are clearly a lot of .NET jobs too but didnt make it to cutoff. I will see if I can include metro areas when I get a chance.
I’m not sure how the list is being compiled but LinkedIn tells me there’s 10k jobs for “software engineer” in a 25 miles radius from me in the Bay Area. Either this data set is incomplete or LinkedIn is lying. Most likely it is both.
I got ~5K if I include Bay Area, tho my data only covers jobs that are active in the past 7d and am quite sure I have room to improve the crawl coverage. My hope is that this report is representative sample of trends.
So many LinkedIn jobs are fake.
> Bengaluru alone has more software engineering openings than the entire USA<p>That wouldn't exactly be surprising IMHO.
Linkedin shows the following<p><pre><code> US: 77,000
European Economic Area: 58,000
India: 51,000
China: 48,000(probably undercounted)
UK: 9,000
Canada: 7,000
Brazil: 6,000
Mexico: 4,000
Aus & NZ: 2,000
Eastern Africa: 300
Western Africa: 500
Southern Africa: 600
Northern Africa: 1,000
Within europe:
Nordics: 3,000
Germany: 15,000
France: 8,000
Italy: 3,000
Poland: 5,000
Romania: 2,000</code></pre>
So there are no companies on Earth using (or at least hiring for) C# or .NET then... ?
There are definitely jobs for C# folks, where is mostly Finance. At least from what I’ve seen. Love .Net but they tend to gravitate towards Microsoft Corporate.<p>Most people, Java devs included, have incorporated another language into the quiver. Python perhaps. TypeScript for sure.
Or native mobile?
I would not be surprised if the answer is NO.
I don't believe this sample to be representative.<p>Linkedin shows the following<p><pre><code> US: 77,000
European Economic Area: 58,000
India: 51,000
China: 48,000(probably undercounted)
UK: 9,000
Canada: 7,000
Brazil: 6,000
Mexico: 4,000
Aus & NZ: 2,000
Eastern Africa: 300
Western Africa: 500
Southern Africa: 600
Northern Africa: 1,000
Within europe:
Nordics: 3,000
Germany: 15,000
France: 8,000
Italy: 3,000
Poland: 5,000
Romania: 2,000
</code></pre>
Quick thoughts<p>1) US, Europe, China, India seem to be doing way better than the rest of the world<p>2) Germany still tops the charts in europe<p>3) China is probably undercounted, so I wonder if the real number is even higher than US. Would love to hear from people more familiar with chinese job market.<p>4) I wish Africa was doing better given the economic challenges
Certainly this AI report is prone to error and needs clarification. But it's a great starting point. Would love to see the page expanded on with sources. This:<p><pre><code> business-software-applications: 20,248
software-engineering: 16,992
cybersecurity-engineering: 11,476
software-engineering-leadership: 10,608
data-and-analytics: 10,379
machine-learning-and-ai-engineering: 8,793
full-stack-software-engineering: 8,369
java-software-engineering: 8,114
software-quality-assurance-and-testing: 6,250
devops-engineering: 5,381
</code></pre>
Should be broken down with a tree that shows location.
So is there a place where this compares to data from last year, or previous years?
Good lord I though Indiana was leading the geographic listings for a moment.
Data is ex-china. Good luck to everyone looking for a new role in the new year.
AI generated slop..
Crap like this should be banned.
Not all AI generated outputs are slop, usually it's the low effort prompts that create slop. When you bring in external data or extensive human curation it is almost certainly not slop. I think many people put all AI outputs in the slop bucket but this is unfair to those who put a lot of thinking in their AI interactions. Slop is not given by the LLM, but by the human effort associated to that task. For code, it is the quality of the testing framework that sets the bar.