🌟 IBM, the global leader in enterprise tech, is inviting fresh graduates for the Software Engineer position as part of their Off Campus Drive 2025. This is a golden opportunity for recent graduates with a Bachelor’s or Master’s degree in Computer Science or related fields to begin their career with one of the most prestigious names in the IT industry. The role involves working on cutting-edge systems software, firmware, cloud software, and product development cycles at the India Systems Development Lab (ISDL) in Bangalore. If you’re passionate about system-level development, cloud computing, and scalable architecture, IBM is the right place to start your journey.
| IBM | |
| Job Role | Software Engineer |
| Qualification | Bachelor’s or Master’s degree |
| Batch | 2022/2023/2024/2025 |
| Experience | Freshers |
| Salary | INR 4.5 LPA |
| Location | Bangalore |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
📌 Bachelor's or Master's degree in Computer Science Engineering or similar
📌 Strong academic knowledge of data structures, algorithms, and operating systems
📌 Excellent coding skills in C, C++, Java, Python, GoLang, or ReactJS
📌 Good communication and teamwork skills
📌 Willingness to work in a high-paced, collaborative global environment
🧾 Job Description
As a Software Engineer at IBM ISDL, you will:
🛠️ Contribute to design, development, testing, and support phases of IBM systems products
🌐 Collaborate across geographies with development, product management, and customer teams
💡 Analyze product requirements and implement scalable solutions using modern tech stacks
💾 Work on systems software, firmware, storage software, and cloud products
📈 Be part of a team that’s shaping the future of enterprise technology
🌟 Why Join IBM?
🚀 Innovation Driven Culture: Solve some of the world’s toughest tech problems
🌍 Global Exposure: Work with international teams on large-scale enterprise products
📚 Learning Opportunities: Access to IBM’s learning platforms and mentorship programs
💼 Career Growth: Work with modern tools like OpenShift, Kubernetes, GraphQL, DevOps
🎯 High-Impact Work: Your code will contribute directly to IBM’s core products
🏢 About IBM
IBM is a leading global tech company driving innovation in AI, cloud, hybrid computing, and enterprise systems. With research labs in Bangalore, IBM is renowned for developing future-ready software solutions. The company offers exciting career opportunities for freshers looking to grow in system software and cloud platforms.
🧩 Additional Highlights
🔧 Tech Stack: Java, Python, C++, ReactJS, GraphQL, NodeJS, Kubernetes, OpenShift
🔍 Focus Areas: Operating systems, virtualization, cloud native development, backend systems
🧠 Bonus Skills: AI/ML, Data Science, NLP, DevOps, Web UI frameworks
🌐 Tools Used: Git, Ansible, Docker, SQL, Microservices architecture
📥 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. Explain the difference between process and thread.
🗨️ A process is an independent executing program with its own memory space. A thread is a lightweight sub-process that shares memory with other threads in the same process.
Q2. What is a deadlock and how can it be avoided?
🗨️ A deadlock occurs when two or more processes wait indefinitely for resources. It can be avoided using techniques like resource ordering, avoiding circular wait, or using lock timeout.
Q3. How does Kubernetes help in software deployment?
🗨️ Kubernetes automates container deployment, scaling, and management, allowing easy orchestration of microservices and improved resource utilization.
Q4. What are the differences between REST and GraphQL APIs?
🗨️ REST is resource-based, returning fixed data formats. GraphQL allows clients to specify the exact data they need, improving performance and flexibility.
Q5. How do you optimize a program for performance?
🗨️ By analyzing time and space complexity, reducing redundant operations, using efficient algorithms, caching data, and optimizing database queries.
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