Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en CitiusTech (Bengaluru) en jul 2025
Entrevista
First round they asked about smart pointer, agile methodologies, how to prevent from memory leak , how to remove duplicate form string without using stl
Round 2 was managerial round
They asked about cloud platform,com dcom and smart pointer , how to prevent memory leak , thread safe methods, scenario based questions.
Preguntas de entrevista [1]
Pregunta 1
They asked about cloud platform,com dcom and smart pointer , how to prevent memory leak , thread safe methods, scenario based questions.
Acudí a una entrevista en CitiusTech (Gurgaon, Haryana)
Entrevista
I had one technical interview with 2 coding questions and then theoretical.
Also some output questions were asked.
After this managerial round was there.
Then HR discussion round. The offer letter was released after that.
interview process is very difficult asks different technological questions , also the projects in organisation is very bad so be catious while joining if you have any other offer better join that than this organisaation
Me postulé en línea. El proceso tomó 1 día. Acudí a una entrevista en CitiusTech (Pune) en oct 2025
Entrevista
I applied through LinkedIn, and the recruiter contacted me shortly after. The interview process started the next day, and I completed one round so far.
I applied through LinkedIn, and the recruiter contacted me shortly after. The interview process started the next day, and I completed one round so far.
Preguntas de entrevista [1]
Pregunta 1
How will you deploy Django Based app on a AWS servers what steps will you take.
The query execution time is more how will you debug
You join a project where Python's logging output is missing in a multi-process app using multiprocessing. Write a minimal example demonstrating why logs might not appear from child processes, then fix it so logs from all processes are captured and explain your approach.
You’re tasked with processing large log files in real time. Write a Python generator function that reads a file line by line and yields only lines that contain valid JSON objects. Handle lines with malformed JSON gracefully, skipping them without stopping iteration.