🌐 Microsoft is hiring Software Engineers for its 2025 batch through an exclusive Off Campus Recruitment Drive. If you're a recent graduate in Computer Science or a related technical discipline, this is your gateway to joining one of the most innovative tech giants in the world. This full-time opportunity allows you to work remotely from anywhere in India, with the role based in Bangalore. You'll contribute to Azure Storage, one of the world’s most scalable, distributed storage systems—shaping the backbone of Microsoft’s cloud infrastructure. A golden chance for freshers to build large-scale, world-class software systems.
| Microsoft | |
| Job Role | Software Engineering |
| Qualification | Bachelor’s Degree |
| Batch | 2022/2023/2024/2025 |
| Experience | Freshers |
| Salary | ₹ 77K Per Month(Expected) |
| Location | Remote |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
📌 Bachelor’s Degree in Computer Science or related field
📌 Proficiency in coding with C, C++, C#, Java, JavaScript, or Python
📌 Strong understanding of data structures, system design, and algorithms
📌 Must meet Microsoft’s Cloud Background Check criteria
📌 Good communication, logical thinking & team collaboration
🧾 Job Description
As a Software Engineer at Microsoft, you will:
🧠 Build and optimize distributed file systems for Azure Cloud Storage
💾 Develop scalable solutions that manage meta-data and data service layers
⚙️ Write and implement clean, reusable, and secure code
🧰 Handle systems monitoring and resolve service downtime issues as a DRI
📈 Stay updated with evolving technologies to enhance storage reliability and performance
🧬 Engage with both software and hardware optimization for hyperscale environments
🌟 Why Join Microsoft?
🚀 Innovate at Scale: Work on one of the largest storage systems on the planet
🌍 Global Impact: Your code will impact millions across the world
🏠 Flexible Work: Up to 100% remote option
🤝 Collaborative Culture: Work with world-class engineers in a diverse team
📚 Learning Ecosystem: Access to internal training, mentorship, and certifications
🏢 About Microsoft
Microsoft is a global technology leader pioneering in cloud computing, artificial intelligence, enterprise software, and innovation. With world-renowned products and services like Azure, Office 365, and GitHub, Microsoft empowers millions of developers worldwide. Their commitment to remote work and inclusivity makes them a top choice for software engineers.
🧩 Other Highlights
🔧 Core Skills: C, C++, Python, Java, JavaScript, C#, Distributed Systems
☁️ Cloud Stack: Azure Storage, Microsoft Data Centers, High Scale Infrastructure
🔒 Security Compliance: Microsoft Cloud Background Screening
🛠️ Tools: Visual Studio, GitHub, Azure DevOps
🎓 Great for: Freshers aiming for backend development, systems engineering, and cloud optimization
📥 How to Apply?
Interested and eligible candidates can apply online using the below link:
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
❓ 5 Interview Questions & Sample Answers
Q1. What is a distributed system and why is it useful?
🗨️ A distributed system consists of multiple nodes working together to appear as a single system. It enhances scalability, fault tolerance, and resource sharing.
Q2. Explain memory leaks and how to prevent them in C++.
🗨️ Memory leaks occur when dynamically allocated memory isn't deallocated. Use smart pointers like std::unique_ptr or std::shared_ptr to manage memory safely.
Q3. Describe how hash tables work.
🗨️ Hash tables store key-value pairs and use a hash function to map keys to indices in an array, allowing constant-time lookups in ideal conditions.
Q4. What is the difference between multithreading and multiprocessing?
🗨️ Multithreading shares the same memory space among threads, improving speed for I/O-heavy tasks, while multiprocessing uses separate memory, better for CPU-bound tasks.
Q5. How would you optimize a file storage system for faster reads?
🗨️ Use indexing, caching frequently accessed data, compressing files, and using parallel reads or memory-mapped files to boost performance.
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