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REQUIREMENT_ID_172 β€’ 3-DAY_ACTIVE_POLICY

Mainframes Trained Grads

Company
Company Cgi
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Hyderabad, Andhra Pradesh, India
Posted Date
Posted Date Yesterday
COBOL JCL DB2 VSAM CICS z/OS Mainframe utilities Communication
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the skills needed for the online test at CGI.
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Company Interview Preparation Guide Open Resource β†—
Insights on typical interview patterns, frequently asked technical questions, and HR topics for CGI mainframe roles.
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Comprehensive Interview Prep Resource Open Resource β†—
A one‑stop resource covering coding, data structures, and system design concepts relevant to mainframe development.
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Algorithm & Data Structure Problem Set Open Resource β†—
Practice problems to improve problem‑solving speed and accuracy, useful for technical rounds at CGI.

Graduates (B.Tech/B.E./MCA) in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.5/10); batch 2024‑2025 (or recent graduates); no active backlogs; strong logical reasoning and communication skills; willingness to learn mainframe technologies.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (focus on COBOL, JCL, DB2 fundamentals)
3
Round 3: HR Interview (fit, motivation, cultural alignment)
CGI is one of the world’s largest IT and business consulting services firms, operating in more than 40 countries with a strong presence in India. The company is known for its collaborative culture, emphasis on ownership, and commitment to delivering innovative solutions for clients across banking, insurance, healthcare, and public sectors. CGI’s Indian operations, especially in Hyderabad, serve as a hub for cutting‑edge mainframe and enterprise‑grade projects, offering fresh graduates a platform to work on real‑world applications that power critical business processes. The role of a Mainframe Apprentice is designed for recent graduates who have completed foundational training in mainframe technologies. Under the mentorship of senior developers, the apprentice will gain hands‑on experience in developing, testing, and supporting mainframe applications. This apprenticeship serves as a launchpad for a long‑term career in mainframe engineering, a niche yet highly demanded skill set in the banking and insurance domains. Key responsibilities include: 1. Supporting mainframe application development and maintenance under senior guidance. 2. Creating, modifying, and executing basic JCL jobs and analyzing job outputs. 3. Performing basic COBOL coding, testing, and debugging. 4. Writing and executing simple DB2 SQL queries and assisting with data‑related tasks. 5. Analyzing compile errors, JCL errors, and job abends with supervision. 6. Following established coding, testing, documentation, and change‑management processes. 7. Learning the organization’s mainframe tools, applications, and business processes. 8. Collaborating closely with senior developers and support teams, gradually taking ownership of assigned tasks. 9. Participating in code reviews and knowledge‑sharing sessions. 10. Maintaining accurate documentation of work performed. Technical stack revolves around COBOL, JCL, DB2, VSAM, CICS, z/OS concepts, and various mainframe utilities. The apprenticeship offers a clear growth path: after mastering the basics, the graduate can progress to a Mainframe Developer, then to Senior Developer, and eventually to Technical Lead or Architecture roles, with opportunities to move into consulting or project management. Why join CGI? The firm provides a supportive environment where ownership is encouraged from day one, a robust learning ecosystem, exposure to global clients, and a clear roadmap for career advancement. Fresh talent gets to work on mission‑critical systems, receive continuous mentorship, and benefit from CGI’s commitment to employee well‑being and work‑life balance.

Cgi β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Cgi Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cgi and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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 (COBOL, JCL, DB2, VSAM, CICS, z/OS, Mainframe utilities, Communication) & 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
Cgi Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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).
Why do you want to join Cgi as a Mainframes Trained Grads?
Preparation Tip: Highlight Cgi's market reputation, recent tech innovations, and how your skills in COBOL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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