Backend Engineer
Scoutit Bengaluru East, Karnataka, India
Job Description
"Join our team of innovators as a Backend Engineer and shape the future of software development at Scoutit."
As a Backend Engineer at Scoutit, you will play a pivotal role in designing, developing, and maintaining the server-side components of our software applications and systems.
You will collaborate with cross-functional teams to ensure seamless integration and functionality, leveraging your expertise in programming languages, databases, and frameworks to create robust and scalable solutions.
Why you should learn this:
The demand for skilled Backend Engineers is on the rise, with a projected growth rate of 13% in the next five years.
Expected Salary: The average salary for a Backend Engineer in India ranges from ₹800,000 to ₹1,200,000 per annum, depending on experience and location.
How it works:
- Step 1: Collaborate with cross-functional teams to understand software requirements and translate them into technical specifications.
- Step 2: Design and develop server-side software components, APIs, and services to support the functionality of the software application.
Core Concepts to Master
Microservices Architecture
A microservices architecture is a design pattern that structures an application as a collection of small, independent services that communicate with each other using APIs.
API Design
API design involves creating a well-structured and maintainable API that provides a clear interface for interacting with the backend services.
Database Management
Database management involves designing and implementing a database schema to store and retrieve data efficiently and securely.
Interview Questions (Beginner)
- What is the difference between a monolithic architecture and a microservices architecture?
- How do you handle errors and exceptions in a backend application?
- What is the purpose of API documentation, and how do you create it?
Job Overview
Advance Questions
- • Design a microservices architecture for a complex e-commerce application.
- • Explain the trade-offs between using a relational database versus a NoSQL database.
- • Implement a caching layer using Redis to improve the performance of a high-traffic API.