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      Ricerche correlate: Recensioni su RetailMeNot | Offerte di lavoro di RetailMeNot | Stipendi di RetailMeNot | Benefit di RetailMeNot
      Colloqui di RetailMeNotColloqui per Staff Software Engineer presso RetailMeNotColloquio di RetailMeNot


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      Colloquio per Staff Software Engineer

      11 apr 2017
      Dipendente anonimo
      Phoenix, AZ
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso RetailMeNot (Phoenix, AZ) nel mese di mar 2017

      Colloquio

      I was initially contacted by an in house recruiter. He walked me through the process and was extremely helpful in answering my questions and addressing my concerns. I then spoke with the hiring manager out of their Austin office. He gave me an overview of the company and we discussed the companies needs for the position. Overall it was a very positive and relaxed conversation. A week later I had a phone interview with a small group where we discussed my experience/skill sets and answered java specific questions. We went through a coding exercise where we worked on an optimization routine relevant to the companies domain. Lastly I was scheduled for an in person interview at their Phoenix offices. Travel was taken care of by the company and was painless for me. The interview process was several hours with multiple groups. Each group asked varying levels of questions about my experience, preferred work environments with a final longer technical interview where we whiteboarded several solutions (pseudo code and architecture/design). I was treated to a lunch with the team and had a chance to get to know them on a more personable level. The entire experience was enjoyable, exciting, and relaxed. I felt like I was being welcomed to a family!

      Domande di colloquio [1]

      Domanda 1

      General java data types, collections, service communication. Optimize coupons to a cart items to give to biggest discount. Code examples for optimized return values from multiple data streams.
      Rispondi alla domanda
      1

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