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Software Engineer Apprenticeship

Microsoft

  • Multiple Locations, India
  • β‚Ή 15 LPA
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

Microsoft is a global technology leader that empowers individuals and organizations through a wide range of software, services, devices, and cloud solutions. In India, Microsoft has a strong presence across major cities, fostering a culture of innovation, inclusion, and continuous learning. The company invests heavily in research and development, collaborates with local startups, and partners with academic institutions to nurture talent. Employees benefit from world‑class mentorship, access to cutting‑edge tools, and a vibrant community that celebrates diversity and encourages every voice to be heard. The Software Engineer Apprenticeship is designed for fresh graduates of the 2026 batch who are eager to launch their careers in software development. As an apprentice, you will be embedded within product teams that build real‑world solutions used by millions worldwide. You will receive structured training, hands‑on project exposure, and regular feedback from senior engineers and program managers. The role blends learning with delivery, allowing you to contribute to features while sharpening your technical foundation. Key Responsibilities: 1. Apply engineering principles to design, develop, and test software components using Java, Python, and HTML5. 2. Collaborate with Technical Program Managers and Product Managers to gather and refine user requirements. 3. Write clean, reusable, and well‑documented code following industry best practices such as exception handling and modular design. 4. Participate in code reviews, provide constructive feedback, and adopt suggestions to improve code quality. 5. Conduct unit testing and assist in integration testing to ensure functional correctness and performance. 6. Monitor and troubleshoot application issues, contributing to reliability, observability, and performance improvements. 7. Stay updated with emerging technologies, tools, and methodologies, and proactively suggest enhancements. 8. Manage time effectively to meet sprint goals and deliverables within a collaborative team environment. 9. Maintain comprehensive documentation for code, test cases, and reusable components. 10. Contribute ideas during sprint planning and retrospectives to drive continuous improvement. Tech Stack: Java, Python, HTML5, CSS, JavaScript, Git, Azure DevOps, REST APIs, Agile/Scrum methodology. Growth Path: Successful apprentices are eligible for full‑time Software Engineer positions after a performance review. Microsoft offers clear career ladders, opportunities to move across product groups, and access to internal learning platforms such as Microsoft Learn and LinkedIn Learning. Why Join Microsoft? You will work on products that impact billions of users, receive mentorship from industry veterans, and be part of a culture that values curiosity, inclusion, and impact. The apprenticeship provides a fast‑track entry into a world‑class engineering organization, with competitive compensation, comprehensive benefits, and a supportive environment for personal and professional growth.

Eligibility & process

Who can apply

2026 graduate with a Bachelor's Degree in Computer Science, Computer Engineering, Information Technology or related field; minimum 60% aggregate (or equivalent CGPA); no active academic backlogs; no prior full‑time employment; Indian citizenship or eligibility to work in India.

Skills & stack

Java Python HTML5 Data Structures & Algorithms Algorithms Operating Systems Team Collaboration

Selection process

  1. Round 1: Online Coding Assessment (multiple choice + coding problems)
  2. Round 2: Technical Interview (coding, system design basics, problem solving)
  3. Round 3: HR Interview (behavioral fit, motivation, cultural alignment)

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 (Java, Python, HTML5, Data Structures & Algorithms, Algorithms, Operating Systems, Team Collaboration) & 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 Microsoft 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 Microsoft as a Software Engineer Apprenticeship?
Highlight Microsoft's market reputation, recent tech innovations, and how your skills in Java 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.
Microsoft β‚Ή 15 LPA
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