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I applied via Otta and was interviewed in Aug 2024. There were 3 interview rounds.
I am a seasoned backend developer with expertise in building scalable and efficient systems.
Over 8 years of experience in backend development
Proficient in languages such as Java, Python, and Node.js
Strong understanding of database management and optimization
Experience with cloud technologies like AWS and Azure
Passionate about writing clean and maintainable code
Led a project to develop a real-time messaging system for a large e-commerce platform
Managed a team of 5 developers to design and implement the messaging system
Coordinated with product managers to gather requirements and prioritize features
Implemented WebSocket technology for real-time communication
Integrated the messaging system with existing user accounts and notifications
Conducted regular code reviews and testing to
Create a web crawler. Focus on clean code SOLID tests. Make it multi threaded.
I applied via Company Website and was interviewed in May 2024. There were 2 interview rounds.
Just take home task and they discuss the extension and design decisions
I was interviewed in Apr 2024.
Discussing salary expectations is an important part of the interview process.
Research industry standards and salary ranges for similar positions
Consider your experience, skills, and the value you bring to the company
Be prepared to negotiate and discuss benefits in addition to salary
Avoid discussing salary too early in the interview process
Provide a range rather than a specific number if possible
Developed a real-time data analytics platform for a major e-commerce company
Implemented complex algorithms to process and analyze large volumes of data
Designed and built scalable architecture to handle high traffic and ensure low latency
Collaborated with cross-functional teams to gather requirements and deliver a user-friendly interface
I applied via LinkedIn and was interviewed in Feb 2024. There were 2 interview rounds.
Chat with another engineer about past experience.
Coding assignment (write a web crawler)
Monzo interview questions for popular designations
I applied via LinkedIn and was interviewed before Aug 2023. There were 3 interview rounds.
To solve the problem, I would conduct a thorough investigation, analyze data, and collaborate with relevant stakeholders.
Conduct a thorough investigation to gather all relevant information
Analyze data to identify patterns or anomalies
Collaborate with relevant stakeholders such as law enforcement, regulatory agencies, and internal teams
Implement preventive measures to mitigate future risks
I applied via Referral and was interviewed in Nov 2023. There was 1 interview round.
Basic transactional wallet to implement functions
I applied via Approached by Company and was interviewed before Aug 2023. There were 3 interview rounds.
Focus on Coding, Data Structures, Algorithms, Readable and modular code, Tests
Design a web scale web crawler for efficient and effective data retrieval.
Utilize a distributed architecture to handle large amounts of data and parallel processing.
Implement intelligent crawling strategies to prioritize important pages and avoid duplicate content.
Use efficient data storage and indexing techniques to manage the crawled data effectively.
Consider scalability, fault tolerance, and monitoring for a robust
I handled conflicts by addressing issues directly, listening to all parties involved, and finding a mutually beneficial solution.
Addressed conflicts promptly and directly
Listened to all parties involved to understand their perspectives
Worked towards finding a mutually beneficial solution
Maintained professionalism and respect throughout the conflict resolution process
I had to quickly learn a new programming language for a project deadline.
Researched online tutorials and documentation
Practiced coding exercises to gain proficiency
Sought help from colleagues for guidance
I applied via Approached by Company and was interviewed before Aug 2023. There was 1 interview round.
Design a web crawler to fetch and index web pages
Start by identifying the target websites and their structure
Implement a system to fetch web pages using HTTP requests
Parse the HTML content to extract relevant information
Store the extracted data in a database for indexing and searching
Implement a scheduling mechanism to regularly crawl and update the data
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