Ageism Haunts Some Tech Workers in the Race to Get Hired

Original Article ↗ Hacker News Discussion ↗

Prevalence and Forms of Ageism

  • Many describe ageism as an “open secret”: harder for 40–50+ developers to get hired or even get callbacks.
  • Reported signals: recruiters hanging up after inferring age, being told to “ask for less” due to age, being deemed “overexperienced,” or told teams wouldn’t be “comfortable” with someone so senior.
  • Some see structural ageism via “up-or-out” policies and limited promotion slots; older ICs get pushed out when they plateau at mid/senior levels.
  • Others note that some orgs (e.g., certain big companies, “boring” enterprise/defense, academia) still value greybeards and retain them long term.

Career Strategies for Older Engineers

  • Strong support for moving into consulting/contracting or “lifestyle” businesses as age increases; perceived less discrimination, more control.
  • Getting first contracts is viewed as hard: typically requires prior connections, client-facing roles (sales engineer, professional services), and some luck.
  • Some recommend shifting into stable enterprise software, aerospace/embedded, or maintaining legacy/low-churn stacks (C/C++/embedded).

Skills, Stereotypes, and Interview Dynamics

  • One camp argues many older candidates are rejected because they’ve let skills atrophy, don’t keep an eye on new paradigms/fields, or come across as defensive/jerkish.
  • Others counter that fundamentals transfer, fads are often superficial, and expectations to chase every trend are unreasonable and ageist.
  • Frustration that interviews overemphasize narrow, current stacks, modern CS trivia, transcripts, and “culture fit,” undervaluing broad shipping experience and adaptability.

Younger and Junior Engineers’ Perspective

  • Juniors report the opposite problem: roles demanding 5+ years experience, few true entry-level positions, and market saturation/layoffs.
  • Some younger posters also feel ageism against the young (dismissed as inexperienced or unserious), though others push back that software has historically favored youth.

AI and Career Structure

  • One view: AI will let juniors level up faster and reduce demand for seniors and/or juniors.
  • Skeptical view: AI hallucinates, requires domain expertise to use safely, and may mostly diminish the value of juniors while making seniors more productive.

Networking and Resilience

  • Several emphasize that long careers should build networks that bypass biased recruiters; referrals from ex-colleagues and managers often trump age filters.
  • Personal fit, attitude, and willingness to handle “boring,” business-critical work are repeatedly cited as protective factors at any age.