🌟 Dive into the world of next-gen storage systems with IBM's prestigious Storage Engineering Internship 2025! This opportunity is tailored for passionate tech students pursuing B.E/B.Tech or M.E/M.Tech degrees who want to explore cutting-edge infrastructure, distributed storage, and backend development. Interns will work on real-time PoCs (Proof of Concepts), learning directly from industry experts and innovating within a collaborative R&D environment. If you're a student ready to contribute ideas, write efficient code, and explore cloud-native architectures—this internship is your launchpad. Locations include Bangalore and Pune, with exciting challenges ahead!
📋 Job Details
👨💻 Role: Storage Engineering Intern
🎓 Qualification: Bachelor’s or Master’s Degree (Pursuing)
📅 Batch: Current Students
💼 Experience: Fresher
💰 Salary: As per Company Standards
📍 Location: Bangalore & Pune
🕒 Last Date to Apply: Apply ASAP
✅ Eligibility Criteria
📌 Currently enrolled in a B.E./B.Tech or M.E./M.Tech in CS, IT, or related field
📌 Good understanding of data structures, algorithms, and operating systems
📌 Familiarity with storage systems like block, file, or object storage
📌 Basic experience in backend development and using Git for version control
📌 Enthusiastic about learning new technologies and working in an R&D setup
🧾 Job Description
As a Storage Engineering Intern at IBM, you'll:
🛠️ Work with engineers to design and develop backend storage components
🧪 Contribute to Proof of Concepts (PoCs) involving distributed or cloud-native storage
💻 Code in Go, Rust, Python, or C++, and maintain best practices
🌐 Collaborate with frontend, DevOps, and product teams for complete project delivery
🧠 Research tech trends, propose solutions, and present outcomes to stakeholders
📜 Document your findings and participate in code reviews and testing
🌟 Why Join IBM?
🚀 Innovative Projects: Get involved in advanced research and future-facing PoCs
👨🏫 Mentorship: Learn from top minds in storage and infrastructure
🌍 Global Tech Exposure: Gain access to IBM’s ecosystem and tools
🤝 Collaborative Culture: Thrive in an inclusive and creative workspace
📈 Career Starter: Build real-world solutions that could impact IBM's storage roadmap
🏢 About IBM
IBM is a global technology leader known for pioneering AI, cloud computing, and enterprise infrastructure solutions. With innovation labs in Bangalore and Pune, IBM empowers fresh minds to work on advanced tech like distributed systems, storage architecture, and cloud-native solutions, making it a top choice for engineering internships in India.
💡 Additional Highlights
🧪 Project Type: Research & Development – Storage Innovation Lab
⏱️ Internship Duration: Typically 6 months
👨💻 Technologies Involved: Go, Python, C++, Docker, Kubernetes, AWS, IBM Cloud
🔐 Domains: Backend, Storage, Distributed Systems, Cloud Infrastructure
📑 Tools Used: Git, CI/CD, Scripting Tools
📥 How to Apply?
All eligible and interested candidates can apply online through the link below:
👉 For More Details & Apply: Click Here
❓ 5 Interview Questions & Sample Answers
Q1. What is the difference between block storage and object storage?
🗨️ Block storage divides data into fixed blocks, ideal for databases or high-performance apps. Object storage stores data as objects with metadata, great for unstructured data like media files.
Q2. How do you ensure efficiency in backend systems?
🗨️ By writing optimized code, managing memory well, minimizing I/O operations, using caching, and structuring data access with efficient algorithms.
Q3. What’s your experience with version control systems like Git?
🗨️ I’ve used Git for all my projects—creating branches, resolving conflicts, using pull requests, and collaborating with others via platforms like GitHub.
Q4. Describe a distributed system and a challenge it faces.
🗨️ A distributed system spreads components across multiple networked computers. One challenge is consistency, often addressed using consensus algorithms like Raft or Paxos.
Q5. What’s the benefit of using containerization in development?
🗨️ Containers (like Docker) allow consistent environments across development and production, improve portability, isolate dependencies, and support microservices architecture.
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