Software Dev Engineer II, Amazon Access
Amazon Bengaluru, Karnataka, India
Job Description
"Unlock the secrets of Amazon's cutting-edge technology and become a key player in shaping the future of customer experience."
As a Software Development Engineer II at Amazon, you'll be part of a high-growth product area that's revolutionizing the way customers discover and utilize benefits.
With a focus on building scalable distributed systems, real-time data processing, and intelligent personalization, you'll have the opportunity to work on complex problems that require innovative solutions.
Why you should learn this:
High demand for skilled software engineers with expertise in distributed systems, machine learning, and data processing, with a salary range of $180,000 - $250,000 per year
Expected Salary: $180,000 - $250,000 per year
How it works:
- Learn the fundamentals of distributed systems, including design patterns, architecture, and scalability
- Develop expertise in real-time data processing and machine learning, including frameworks and tools such as Apache Kafka, Apache Spark, and TensorFlow
Core Concepts to Master
Distributed Systems Design
Learn how to design and implement scalable distributed systems, including load balancing, caching, and data replication, using design patterns and architecture techniques such as microservices, event-driven architecture, and service-oriented architecture.
Real-Time Data Processing
Develop expertise in processing large amounts of data in real-time, using frameworks and tools such as Apache Kafka, Apache Spark, and Apache Flink, and learn how to implement data pipelines and data warehousing.
Machine Learning
Learn the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and deep learning, and develop expertise in implementing machine learning models using frameworks and tools such as TensorFlow, PyTorch, and Scikit-learn.
Cloud Computing
Learn how to design and implement scalable cloud-based systems, including infrastructure as code, containerization, and serverless computing, using cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Interview Questions (Beginner)
- What is a distributed system, and how do you design and implement one?
- What is real-time data processing, and how do you implement it?
- What is machine learning, and how do you apply it to real-world problems?
Job Overview
Advance Questions
- • How do you design and implement a scalable data pipeline using Apache Kafka and Apache Spark?
- • How do you implement a machine learning model using TensorFlow and Scikit-learn?
- • How do you design and implement a cloud-based system using Amazon Web Services and containerization?