Software Engineer II
Microsoft Bengaluru, Karnataka, India
Job Description
"Unlock the power of limitless storage and join the Microsoft Azure Storage team in revolutionizing the way we access and share data globally."
As a Software Engineer II at Microsoft, you'll be part of a team that's pushing the boundaries of cloud storage, empowering users to access and share data seamlessly across devices and locations.
Imagine a world where every piece of human knowledge, every book, every piece of music, and every video is preserved and accessible to all – this is the vision driving our team's innovation.
Why you should learn this:
With the exponential growth of data, the demand for scalable and secure storage solutions is skyrocketing, making Azure Storage a highly sought-after skill in the industry.
Expected Salary: According to Glassdoor, the average salary for a Software Engineer II at Microsoft ranges from $141,113 to $251,111 per year, depending on location and experience.
How it works:
- Develop and deploy scalable and fault-tolerant storage systems using Azure Storage services such as Blob Storage, File Storage, and Queue Storage.
- Collaborate with cross-functional teams to design and implement high-performance storage solutions that meet the needs of Microsoft's cloud-based applications.
Core Concepts to Master
Azure Blob Storage
A highly scalable object store that allows users to store and serve large amounts of unstructured data, such as images, videos, and documents.
Azure File Storage
A fully managed file share service that enables users to access and share files across devices and locations, with features like file locking and snapshotting.
Interview Questions (Beginner)
- What is Azure Storage, and how does it differ from traditional storage solutions?
- Can you explain the concept of data redundancy and how it's implemented in Azure Storage?
Job Overview
Advance Questions
- • Design a scalable storage solution using Azure Storage services to store and serve large amounts of data.
- • Describe a scenario where you would use Azure Queue Storage to implement a message-based architecture.