Innovative product design studio focused on user experience

After evaluating hundreds of candidates across engineering, product, and technical roles, one pattern keeps repeating itself: some of the most compelling interviews don’t translate into long-term performance, while some of the best hires barely shine in conversation.

LinkedIn was never designed to be a lead factory. It was built to be a professional network: a place for conversations, trust, and long-term business relationships.

Nearshore hiring doesn’t fail because of talent; it fails when contracts don’t reflect cross-border reality. This entrance outlines the essential clauses every nearshore agreement should include, from compliance and employment classification to payroll, IP protection, data security, and termination terms. More than legal safeguards, these clauses create clarity, reduce risk, and build trust across borders. Read the article to learn how well-structured contracts turn nearshore into a stable, scalable, and confident way to build teams in Latin America.

For more than a decade, the world’s biggest and most sophisticated technology companies, Amazon, Google, Microsoft, Intel, JPMorgan, Uber, Oracle, Citi, and over 150 more U.S. brands, have quietly built engineering, product, R&D, cloud, and security teams across Latin America.

As AI reshapes how companies hire developers, a new kind of challenge is emerging: candidates who use AI not just to write code, but to game the hiring process itself. At Netmidas, where we specialize in building high-integrity, distributed engineering teams, we’ve been closely watching this trend. Here's what you need to know, and what to do about it.