Fullstack developer
IBM Bengaluru, Karnataka, India
Job Description
"Embark on a cutting-edge journey as a Fullstack Developer at IBM's India Systems Development Lab (ISDL), where innovation meets technological advancements."
As a Fullstack Developer at ISDL, you will be part of a dynamic team that delivers technology innovations across the entire Systems portfolio, from processor design to software defined storage.
With a strong presence in Bengaluru, Pune, and Hyderabad, ISDL is a hub for creative energies, having contributed over 400+ patents in cutting-edge technologies and inventions.
Why you should learn this:
The demand for Fullstack Developers is on the rise, driven by the increasing need for cloud, mobile, social, and security solutions.
Expected Salary: As a Fullstack Developer at IBM, you can expect a competitive salary ranging from $120,000 to $250,000 per annum, depending on experience and location.
How it works:
- Develop a strong foundation in programming languages such as Java, Python, and JavaScript.
- Gain expertise in fullstack development frameworks like React, Angular, and Vue.js, as well as backend frameworks like Node.js and Django.
Core Concepts to Master
Cloud Computing
Understand the fundamentals of cloud computing, including cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and cloud security.
Containerization and Orchestration
Learn about containerization using Docker and orchestration using Kubernetes, including concepts like pods, services, and deployments.
Artificial Intelligence and Machine Learning
Gain insights into AI and ML concepts, including supervised and unsupervised learning, neural networks, and deep learning frameworks like TensorFlow and PyTorch.
Interview Questions (Beginner)
- What is the difference between a front-end and back-end developer?
- Can you explain the concept of object-oriented programming?
- How do you handle errors in your code?
Job Overview
Advance Questions
- • Design a fullstack application using a microservices architecture.
- • Explain the trade-offs between caching and database performance.
- • Implement a chatbot using natural language processing and machine learning.