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Software Developer Intern

IBM

  • Kochi, India
  • Competitive Package
  • Internship
  • Posted Yesterday
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About the role

Introduction

Introduction

Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role And Responsibilities

We are looking for highly motivated Graduate Engineers with skills in Full Stack Development, AI Engineering, DevOps. Candidates should possess strong analytical and problem-solving abilities, a passion for learning, and an interest in working with IBM and open-source technologies, with a focus on Automation, AI solutions, who are eager to learn a wide range of IBM and open-source packages with a particular bias on Automation technologies.

You will be a self-starter, requiring limited supervision or guidance, with good communication skills and the ability to multi-task and prioritize your work. This is a high-profile project at the core of IBM's new strategy surrounding Workflow Automation and working with our wide range of stakeholders will be critical to ensure we meet the high standards expected.

Required Technical And Professional Expertise

A solid base of programming languages is required. Languages and technologies include Go, Java, Python or other scripting languages are useful.

  • Skills with React, Redux, Node.JS, JavaScript, AngularJS, HTML, CSS
  • Foundational knowledge of AI application development – LangChain, LangGraph, FastAPI, RAG, MCP tools & Generative AI skills
  • Database Concepts and familiar with common DBs like PostgresDB, MySql, ChromeDB
  • Participate in DevOps and CI/CD initiatives to improve development efficiency and software quality.
  • Backend with Python / Java /GoLang as tech stack
  • Skills with Test Tools such as Jest, Cypress, Codecept
  • Knowledge on building API driven interfaces
  • Knowledge on API testing and API automation.
  • Knowledge on test automation development using Ansible, Python.
  • Experience working with GitHub as source code control.
  • Bachelor’s degree in Computer Science or equivalent

Preferred Technical And Professional Experience

  • Knowledge on any cloud services, including IBM Cloud, AWS, Azure and GCP
  • DevOps experience
  • Knowledge on Kubernetes, Docker, Red Hat OpenShift
  • Experience with Linux systems

Eligibility & process

Who can apply

Seniority: Internship. Employment type: Full-time

Skills & stack

Python Java JavaScript Go React Angular Redux HTML5

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

19 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, Java, JavaScript, Go, React, Angular, Redux, HTML5) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion IBM Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join IBM as a Software Developer Intern?
Highlight IBM's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
IBM Competitive Package
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