Infrastructure engineers don’t get the luxury of a learning curve. The role demands operational judgment from day one. Why Infrastructure Hires Go Wrong The candidate managed a network — a flat, single-site network for 80 users. Your environment is multi-site, hybrid cloud, and handles production traffic that cannot go down. Infrastructure and networking roles fail … Read More
Most cybersecurity hiring failures aren’t a sourcing problem. They’re a domain mismatch problem. We fix that. Why Cybersecurity Hiring Goes Wrong The resume said CISSP. The interview revealed someone who passed a certification exam, not someone who’s responded to a live breach at 2 a.m. Cybersecurity roles fail through a specific pattern: generalist IT recruiters … Read More
Every engineer applying for AI roles has AI on their resume. The ones who’ve shipped production systems can tell you exactly what went wrong in the first deployment and how they fixed it. Why AI and Machine Learning Hires Go Wrong The candidate had a fine-tuned LLM in their portfolio. It was a personal project … Read More
Cloud engineers, DevOps specialists, and data engineers share one trait that makes bad placements expensive: they work in production. There is no room for someone learning on the job. Why Cloud and DevOps Hires Go Wrong The candidate had AWS on their resume. What they had was a personal account with a few EC2 instances. … Read More
Most hiring delays aren’t a sourcing problem. They’re a vetting problem. We fix that. What Makes a Software Engineer Hire Go Wrong The resume said React. The take-home said something else entirely. Software engineering roles fail for predictable reasons: candidates who’ve listed every framework they’ve ever Googled, technical screens that test trivia instead of craft, … Read More
