Disappointing Experience – Strong Performance but No Offer Despite Positive Feedback I recently interviewed for a Network Production Engineer position at Meta (London). The process included a screening round where I successfully solved both coding problems: • Problem 1: Battleship problem. • Problem 2: Reading a file and finding repeated occurrences of words, along with explaining time and space complexity. The first technical round covered networking fundamentals (TCP/IP, basic network topology, H-S-R-S-H communication, packet drop analysis, TCP flow control, and congestion control). I performed well in both rounds and received positive feedback from the interviewers. However, five days later, I received a rejection email, stating they were “moving forward with other candidates.” Seeing the same position reposted on LinkedIn shortly afterward was frustrating and disheartening. When I asked one interviewer about Meta’s work-life balance, his response felt dismissive and unprofessional, which added to the negative impression. Advice to Management: Please provide constructive feedback to candidates and maintain professionalism during all interactions. Transparency in the hiring process would improve candidate experience significantly.

The process began with an online assessment covering networking, Linux, and coding fundamentals—15 MCQs in 16 minutes. Topics included TCP/IP, BGP, Python, troubleshooting, etc. After passing, I moved on to two 45-minute technical interviews: Coding Round: Focused on file handling, data structures, Big-O notation, and common algorithms. Networking Round: Scenario-based, covered optical networking, switching/routing, and L0/L1 troubleshooting. Pros: Challenging but fair technical questions. Interviewers were professional and respectful. Process was well-organized and moved quickly. Cons: No detailed feedback post-interview. Some questions were very Meta-specific with little public prep material. Overall: Great opportunity to demonstrate both software and deep networking skills. Would recommend preparing in-depth for both domains—especially optical layer concepts.