Basicnerd11@lemmy.world to News@lemmy.worldEnglish · 22 days ago10 Careers Once Considered Stable Are Now Seeing Major Layoffs (Latest Data)upperclasscareer.comexternal-linkmessage-square19fedilinkarrow-up11arrow-down10cross-posted to: [email protected][email protected][email protected][email protected]
arrow-up11arrow-down1external-link10 Careers Once Considered Stable Are Now Seeing Major Layoffs (Latest Data)upperclasscareer.comBasicnerd11@lemmy.world to News@lemmy.worldEnglish · 22 days agomessage-square19fedilinkcross-posted to: [email protected][email protected][email protected][email protected]
minus-squareDrakeAlbrecht@lemmy.worldlinkfedilinkEnglisharrow-up0·22 days agoSoftware has never been considered stable, as the article mentions in the first paragraph.
minus-squarekibblebits@quokk.aulinkfedilinkEnglisharrow-up0·22 days agoIt’s been stable for me for ~20 years. 🤷♂️ not recently though. Everyone needed software. Not everyone needed JavaScript users.
minus-squareDrakeAlbrecht@lemmy.worldlinkfedilinkEnglisharrow-up0·22 days agoI’m glad to hear you’ve found such exceptional stability, but the norm is closer to 1-2 years.
minus-squarekibblebits@quokk.aulinkfedilinkEnglisharrow-up0·22 days ago There are over 325,319 software engineers currently employed in the United States. I doubt it’s that low, because in the past two years more than that number have been laid off.
minus-squarescribbler@lemmy.worldlinkfedilinkarrow-up0·21 days agoTry comparing it to other jobs on the site, they all seem to be like that for some reason. Not sure if that’s a quirk of their dataset or real
Software has never been considered stable, as the article mentions in the first paragraph.
It’s been stable for me for ~20 years. 🤷♂️ not recently though. Everyone needed software. Not everyone needed JavaScript users.
I’m glad to hear you’ve found such exceptional stability, but the norm is closer to 1-2 years.
I doubt it’s that low, because in the past two years more than that number have been laid off.
Try comparing it to other jobs on the site, they all seem to be like that for some reason. Not sure if that’s a quirk of their dataset or real