I am currently a Computer Science student in university who really loves Linux and FOSS software, hates it when governments and corporations spy on people, and would probably rather have a job that brings meaning and benefits society than one that has a high paycheck (although I do recognize that I also need to have enough money for food, housing, .etc). I also watch Scammer Payback and Jim Browning and I love what they’re doing, but I don’t know if I could turn that into a real job.

I’ve thought of doing pen testing (later on in my career), but I’ve come to realize that it is better if users just started using privacy-respecting FOSS software like Signal, because if you give a hacker enough time, patience, and the right resources, they could hack into anything. Although for something like banks, I’d maybe be ok working there, as everybody still needs them and they’re not going away any time soon.

I also need something that I could get into fresh out of university or even as an internship or co-op.

Am I being too pessimistic? What would you suggest me to do? Feel free to challenge my views on life.

  • Real talk, you don’t have the luxury of being an idealist right out of university. Your goal is to get a job. When you’re in that job you will likely not have the luxury of being an idealist either.

    When you have enough experience making practical, reasoned decisions, then you can stand on principals.

    For context, I have been in this business for nearly 20 years. The people I have personally worked with who have resisted things on philosophical grounds ALWAYS get left behind. I’ve seen it with systemd, the cloud, and now I’m seeing it again with kubernetes. You cannot escape the collective inertia of an entire industry.

    Obviously there are still thresholds… I would never work for someone like Raytheon. You have to draw lines somewhere but saying you aren’t going to work for a company that does user behavior tracking is short sighted and impractical.

      • Most resistance I have seen mostly comes down to a misunderstanding in the benefits that kubernetes offers. The assumption is that kube is used for autoscaling and that, if the inbound traffic is predictable then the added complexity is unnecessary. When that happens the “kube isn’t right for all situations” turns into “kube isn’t right for any situation” whether the person in question would ever admit that or not…

        All of this ignores the MASSIVE reliability enhancement kube delivers and the huge amount of effort currently going into modern tool development surrounding the kube ecosystem.