Backend Software Development Engineer
Scoutit Bengaluru, Karnataka, India
Job Description
"Join our team of Backend Software Development Engineers at Scoutit and unleash your creativity in building scalable backend systems that drive business growth."
As a Backend Software Development Engineer at Scoutit, you will be responsible for converting design into code fluently for backend development, developing prototypes and proofs-of-concept, resolving bugs, and incorporating feedback into code modifications.
You will also be expected to stay current with emerging technologies, collaborate with team members, and ensure the quality and consistency of the developed code.
Why you should learn this:
The demand for skilled Backend Software Development Engineers is on the rise, with an expected growth of 21% in the next 5 years.
Expected Salary: The average salary for a Backend Software Development Engineer in India ranges from ₹15 lakhs to ₹30 lakhs per annum.
How it works:
- Step 1: Design and Development - Convert design into code fluently for backend development.
- Step 2: Prototyping and Testing - Develop prototypes and proofs-of-concept to support iterative development, resolve bugs, and incorporate feedback into code modifications.
Core Concepts to Master
Scalability and Performance
Design and implement scalable backend systems that can handle large-scale operations, ensuring high performance and reliability.
Cloud Computing
Stay current with emerging cloud technologies and integrate them effectively into development, ensuring security and scalability.
Microservices Architecture
Design and implement microservices-based systems that promote loose coupling, high cohesion, and scalability.
Interview Questions (Beginner)
- What is the difference between a RESTful API and a GraphQL API?
- How do you handle caching in a distributed system?
- What is the purpose of a load balancer in a web application?
Job Overview
Advance Questions
- • Design a scalable and fault-tolerant system for a high-traffic e-commerce website.
- • Implement a real-time analytics system using Apache Kafka and Apache Cassandra.
- • Optimize a slow-performing database query using indexing and caching techniques.