The Foundation Of Modern Software

Remember when we actually had to understand algorithms? Now it's just "fancy bear, what's the optimal way to balance this binary tree?" And Stack Overflow? That's just AI with extra steps and judgment. But coding without internet? That's like trying to remember your ex's phone number – theoretically possible but why would you put yourself through that pain? The real pros among us still have that O'Reilly book collection gathering dust somewhere, just in case the apocalypse hits and we need to remember how pointers work.

Ergonomics? Never heard of that programming language. The stick figure perfectly captures the IT professional's natural habitat - contorted into some eldritch configuration that would make chiropractors weep. Normal humans sit upright like functioning members of society, while we code monkeys evolve into human question marks after 12 straight hours of debugging. The best part? We'll spend $3000 on a gaming chair with RGB lighting but still manage to sit in it like we're trying to become one with the floor. Our spines have more curves than a polynomial function.

The eternal developer time estimation paradox strikes again. You start with that confident "I'll knock this out before lunch" energy, only to find yourself five hours later questioning your entire career choice and wondering if you should've just become a goat farmer instead. That "quick fix" turned into a rabbit hole of dependency hell, undocumented APIs, and Stack Overflow threads from 2013 that end with "nevermind, I figured it out" with zero explanation. Time estimation in software is basically astrology but with more caffeine and self-loathing.

The expectation vs reality of code collaboration. Left side: dreamy thoughts about teamwork and shared brilliance. Right side: the existential crisis that hits when you actually see their spaghetti code with zero comments, nested ternaries, and variables named 'x1', 'x2', and 'final_x_i_promise'. Nothing quite matches the psychological damage of inheriting someone's "it works, don't touch it" masterpiece.

Ah, C++ error messages - where the compiler turns into a cryptic pawn shop owner saying "Best I can do is confuse you." When you ask where the problem is in your code, C++ hands you a 47-line template instantiation error pointing to a library file you've never touched, with helpful gems like "no known conversion from 'const int' to 'int&&'" in a function called by a function called by a function you wrote. Ten years of experience and I still stare at these errors like I'm trying to decode ancient hieroglyphics written by a caffeinated octopus.

Content Backend Software Develo... D-Orbit Lisboa, Portugal in Candidatura simplificada Salvar Qualifications and Requirements Strong experience in Python programming (at least 3 years): Knowledge of asynchronous programming: Strong knowledge about Pythons' unit testing frameworks (preferably pytest); Experience in the use of Cython library for generation of python extensions; Strong experience in Java programming (preferable experience in Kotlin): Experience in maintaining Java based web applications: Strong experience in C programming; Strong experience in the use and design of REST APIs; Strong experience on event-driven architectures (pubsub pattern); Strong familiarity with Git distributed version control system; Strong experience of the use of commandline of the Linux based operating systems; Strong experience in debugging distributed applications potentially running in remote environments: Experience in agile development methodologies (e.g.. Scrum, TDD); Experience with applications that handle large datasets: Experience in implementing caching mechanisms (i.e., using Redis); Experience in NoSQL databases such as Cassandra and Redis; Experience in relational databases, namely PostgreSQL: Experience using Kafka, MQTT and Redis as message brokers: Experience in cloud-based environments, namely AWS; Experience in the definition and use of Docker containers; Experience in orchestration of docker containerized microservices using Kubernetes; Some experience in working under DevOps oriented methodologies: Pipeline definition: Test execution automation; Some experience in web application development using the microservices architectural paradigm; Experience in designing web-based applications considering the need for scalability, reliability and security; Experience with Jira framework: Experience of bash shell scripting; Experience in JavaScriptTypescript: Experience in authentication and authorization mechanisms; Experience with event bus technologies (e.g., Kafka);