Microservices JAVA with Node JS-Software Engineer II
Deloitte Chennai, Tamil Nadu, India
Job Description
"Unlock the power of microservices with Java and Node.js at Deloitte's AI & Engineering team - a hub for innovation and transformation."
As a Software Engineer II on Deloitte's Engineering as a Service team, you'll be at the forefront of building, deploying, and operating cutting-edge software solutions using microservices architecture. With a focus on Java and Node.js, you'll work alongside talented professionals to reimagine and re-engineer operations and processes that drive business success.
In this role, you'll have the opportunity to work on high-impact projects, leveraging your expertise in microservices, cloud infrastructure, and AI to deliver business advantage to our clients. If you're passionate about innovation, technology, and making a meaningful difference, this could be the perfect fit for you.
Why you should learn this:
With the increasing adoption of microservices architecture, the demand for skilled professionals with expertise in Java and Node.js is skyrocketing, with a median salary range of $120,000 - $180,000 per year.
Expected Salary: The salary range for a Software Engineer II with microservices expertise can vary based on location, experience, and industry, but here are some realistic expectations.
How it works:
- Design and develop microservices using Java and Node.js, ensuring scalability, reliability, and maintainability.
- Implement containerization using Docker and orchestration using Kubernetes, to automate deployment and scaling of microservices.
Core Concepts to Master
Microservices Architecture
A microservices architecture is a software development technique that structures an application as a collection of small, independent services, each with its own processes and data storage. Each service is designed to handle a specific business capability, and they communicate with each other using APIs.
Service Discovery and Load Balancing
Service discovery is the process of finding and communicating with services in a microservices architecture. Load balancing is the process of distributing incoming network traffic across multiple servers to improve responsiveness, reliability, and scalability.
Cloud-Native Applications
Cloud-native applications are designed to take advantage of cloud computing models, such as scalability, on-demand resources, and pay-per-use pricing. They are built using cloud-native technologies, such as containerization and serverless computing.
Interview Questions (Beginner)
- What is microservices architecture, and how does it differ from monolithic architecture?
- What are the benefits and challenges of using microservices architecture?
- How do you design and develop microservices using Java and Node.js?
Job Overview
Advance Questions
- • How do you implement service discovery and load balancing in a microservices architecture?
- • What are the key considerations when building cloud-native applications using containerization and serverless computing?
- • How do you ensure scalability, reliability, and maintainability in a microservices architecture?