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      Colloquio per Senior Platform Engineer

      11 mar 2026
      Candidato anonimo a colloquio
      Praga
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Filevine (Praga) nel mese di mar 2026

      Colloquio

      Senior Platform Engineer interview process started well - the recruiter was professional and responsive. However, the technical interview revealed a major disconnect. The role combines multiple disciplines: distributed systems design (Temporal.io, long running workflows), cloud architecture, DevOps engineering (Terraform, Kubernetes, scaling, monitoring, logging, GitOps, CI/CD), and MLOps. During the interview, I realized they're looking for someone who can design complex distributed systems from scratch while also handling deep infrastructure operations. When I pointed out that these are typically separate specializations - for example, someone who designs Temporal workflows usually doesn't also configure low-level service mesh networking or write Kubernetes security policies - they disagreed with the feedback. The position has been open in Prague for 4 months with and zero hires. It's now also posted in Bratislava. The interview task (a batch transcription pipeline handling 10h+ audio files) most propably remains unsolved by any candidate. If you're considering applying, be aware that you'll need to cover both high-level system design and infrastructure operations. The fact that no one has been hired in 4 months suggests the expectations might be unrealistic.

      Domande di colloquio [1]

      Domanda 1

      They asked me to design a system that processes large audio files through a pipeline of AI services. The first service only accepts a specific format, so conversion is needed. The final output is a JSON file with transcription and timestamps. The task sounds straightforward at first, but the depth they expect reveals they're looking for someone with strong distributed systems experience - handling long-running jobs, failures, retries, and scaling. It's not just about making it work, but making it reliable at scale.
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