Senior Software Engineer

Tip 1: Grasp the fundamental differences between horizontal and vertical scaling, and know when to apply each type based on system demands.
Tip 2: For the frontend layer in JavaScript, understand load balancing and stateless architecture for implementing horizontal scaling.
Tip 3: In the API layer with a Python wrapper, be knowledgeable about API gateway patterns and distributing load across instances.
Tip 4: For the service layer in Java, familiarize yourself with microservices architecture, service orchestration, and the scenarios requiring vertical scaling for increased compute capacity.
Tip 5: Gain insights into database management, including scaling relational (SQL) vs. NoSQL (like Elasticsearch) databases, along with sharding, replication, and partitioning techniques.
Tip 6: Learn techniques for optimizing each layer for better performance under increased loads and understand caching mechanisms to reduce system load.
Tip 7: Be aware of cloud services and infrastructure that support scalable architectures, such as container orchestration platforms (e.g., Kubernetes) for horizontal scaling and cloud-based services for vertical scaling adjustments.
Tip 8: Develop skills in using monitoring tools and metrics to analyze the performance impact of scaling, determine scaling needs, and use load-testing tools to simulate high traffic.
Tip 9: Have a deep understanding of different database technologies, particularly how to scale them and the trade-offs involved.

Tip 1: Master the Fundamentals of OOP: Ensure you have a strong grasp of key OOP concepts such as classes, objects, inheritance, encapsulation, polymorphism, and abstraction. Be able to demonstrate how these concepts can be implemented effectively in JavaScript. Practice designing simple class structures and understand how to apply OOP principles to solve real-world problems.

Tip 2: Strengthen Your JavaScript Skills: Focus on mastering key JavaScript concepts frequently tested in interviews, including closures, prototypal inheritance, event looping, and asynchronous programming. Ensure proficiency in tasks such as array and object manipulation, scope, and ES6+ features like arrow functions, promises, and async/await. Regular practice on online coding platforms can enhance your proficiency and readiness for interview challenges.

Tip 1: Understand & learn Dynamic Programming
Tip 2: Grasp the Greedy Algorithm and Its Limitations

Tip 1: Understand & learn Dynamic Programming
Tip 2: Grasp the Greedy Algorithm and Its Limitations
Tip 3: basics of JavaScript method chaining 

NOTE: I was unable to solve this particular problem as I had not previously implemented method chaining and was unfamiliar with it. However, this prompted a discussion, and I mentioned that I could tackle the problem using Java. This led to additional rounds of interviews starting from the basics.

Tip 1: Basics of Java
Tip 2: OOPs
Tip 3: Basic design patterns

Tip 1: Enhance Your Java Fundamentals: Develop a solid foundation in Java, focusing on its core principles and functionalities. This will help in understanding complex data structures like priority queues which are essential for optimizing certain operations.

Tip 2: Learn Multithreading and Spring Framework: Gain knowledge in Java multithreading to manage concurrent processes effectively. Additionally, familiarize yourself with the internal workings of the Spring framework to leverage its robust features in building enterprise-level applications.

Tip 1: Basics of programming
Tip 2: multithreading 
Tip 3: DSA

Tip 1: Strengthen your understanding of file systems, Ubuntu, and cloud services to enhance your foundational IT knowledge.

Tip 2: Familiarize yourself with the basics of system design and gain a hardware-level understanding of CPU clock cycles, caches, and the layers of operating systems.