Ho presentato la mia candidatura online. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Indico Data (Boston, MA) nel mese di feb 2025
Colloquio
The interview was professional and well-organized. It started with a brief introduction of the company, followed by a series of questions about my technical background, leadership experience, and strategic thinking. I felt comfortable throughout and was able to answer most of their questions confidently. The atmosphere was friendly, and the interviewers seemed genuinely interested in understanding my experience and how I approach problem-solving in IT management scenarios.
Domande di colloquio [1]
Domanda 1
One of the key questions they asked was how I would handle a situation where a critical system goes down unexpectedly during business hours, affecting both internal operations and customer-facing services. This question seemed central to understanding how I perform under pressure and make decisions during IT crises.
Ho presentato la mia candidatura online. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Indico Data
Colloquio
Interview process was quite long. It consisted of:
* Talk with Founder about a high-level view of company
* Quick technical interview to basically show that you know Python a bit.
* Meeting to get a project to complete (told it would take ~2 hours, but feel free to spend more)
* Completed project, spent ~5 hours to make sure to stand out (unit testing, bring up with docker-compose, etc.)
* Meeting to go over project and also discuss system design decisions.
* If all is well with that, set up a series of ~6 interviews (~30 min) that are basically behavioral. To get a sense of the product and the team
Scheduling was very flexible. Not all meetings had to be done in a row, so they could be done during lunch, for people that can't take off.
Domande di colloquio [1]
Domanda 1
* Given a pseudo-api call (returns a dict), parse the data and output it in a required format.
* Project to interact with the Indico SDK (example given), to then store the data and retrieve the data with API routes.