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Global software engineering job postings outlook – 2026

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.

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.

4 days agonine_k

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.

4 days agowindex

That's a funny mechanism. So these are fake jobs that HR consultants (recruiters?) use to harvest resumes?

What's the angle here?

4 days agojoenot443

They can submit those resumes to other positions.

This type of recruiter often is paid based on # of resumes furnished, not actually filling the position, so the incentives are completely misaligned.

4 days agoOur_Benefactors

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.

4 days agosp1982

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.

4 days agodarth_avocado

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.

4 days agosp1982

So many LinkedIn jobs are fake.

4 days agohshdhdhj4444

> Bengaluru alone has more software engineering openings than the entire USA

That wouldn't exactly be surprising IMHO.

4 days agophendrenad2

Linkedin shows the following

    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
a day agosaxenaabhi

Do you work at LinkedIn? How did you get this data?

18 hours agophendrenad2

sir, you can search for "software engineer" on linkedin jobs and verify the count

9 hours agosaxenaabhi

So there are no companies on Earth using (or at least hiring for) C# or .NET then... ?

4 days agoneogodless

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.

Most people, Java devs included, have incorporated another language into the quiver. Python perhaps. TypeScript for sure.

4 days agoreactordev

Or native mobile?

4 days agonone2585

just didn't make the cutoff of top 10 categories I am tracking, I will update the report. iOS/android/c# are around same range of 2%

4 days agosp1982

I would not be surprised if the answer is NO.

4 days agojournal

I would.

4 days agojavawizard

I don't believe this sample to be representative.

Linkedin shows the following

    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
Quick thoughts

1) US, Europe, China, India seem to be doing way better than the rest of the world

2) Germany still tops the charts in europe

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.

4) I wish Africa was doing better given the economic challenges

a day agosaxenaabhi

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:

    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
Should be broken down with a tree that shows location.
4 days agocoro_1

So is there a place where this compares to data from last year, or previous years?

4 days agoacbart

Unfortunately I don't have it because I started working on this last year but I am curious to see how AI skills surface as the year progresses.

4 days agosp1982
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4 days ago

Good lord I though Indiana was leading the geographic listings for a moment.

4 days agoanalog31

Data is ex-china. Good luck to everyone looking for a new role in the new year.

4 days agosp1982

What does “ex-china” mean, excluding China?

Edit: did a quick find-in-page on mobile for “china” and it appears 0 times. Though notably China is missing from the geographic charts

4 days agodieselgate

Yes, excluding china. I don’t have a lot of companies based in china in my crawl data currently.

4 days agosp1982

That makes sense, they have their own ecosystem for posting jobs there.

4 days agoseanmcdirmid

Got it, thanks. Good write up and presentation.

3 days agodieselgate

Do they even hire engineers from abroad, or at least from the West?

4 days agonine_k

Why not? Tiktok certainly needed engineers?

4 days agore-thc

AI generated slop.. Crap like this should be banned.

4 days agoKnuthIsGod

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.