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AI-Native Java Engineer – Graduate Trainee

Company
Company zycus
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.2 - 10 LPA
Location
Location Bangalore
Posted Date
Posted Date Today
Java Data Structures & Algorithms Object‑Oriented Programming Spring Boot REST APIs SQL Git AI tools (ChatGPT GitHub Copilot Cursor Gemini) Prompt Engineering Cloud & Containers (Docker Kubernetes) Problem Solving Communication
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A Comprehensive Aptitude Practice Set Open Resource β†—
Helps sharpen logical reasoning and quantitative skills essential for coding interviews at Zycus.
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Interview Preparation for Technical Roles Open Resource β†—
Provides insights into common technical interview questions and problem‑solving strategies useful for Zycus interviews.
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Coding Practice and Mock Interviews Open Resource β†—
Offers coding challenges and mock interview sessions to build confidence before applying to Zycus.
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Algorithmic Problem Solving Repository Open Resource β†—
A collection of algorithmic problems to strengthen DSA fundamentals required for Zycus technical rounds.

Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) in Computer Science, Information Technology, Electronics, AI/ML, Data Science or related branches; graduating in the 2026 batch; minimum 80% or equivalent CGPA in 10th, 12th and B.E/B.Tech; no active backlogs and no history of backlogs or arrears.

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Round 1: Technical interview – Java, DSA, OOP
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Round 2: Technical interview – Spring Boot, REST, AI tools
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Round 3: HR interview
Zycus, a global leader in enterprise spend management solutions, has been consistently recognized for its innovative approach to procurement, invoicing, and spend analytics. With a presence in over 30 countries and a workforce of more than 5,000 professionals, the company has built a reputation for delivering cutting‑edge technology that helps businesses streamline their operations and achieve cost efficiencies. Zycus’s culture is built around collaboration, continuous learning, and a strong focus on customer success, making it an attractive destination for fresh talent eager to make an impact. The AI‑Native Java Engineer – Graduate Trainee role is designed for 2026 graduating B.E/B.Tech students who are passionate about backend development and excited to explore the intersection of software engineering and artificial intelligence. As a graduate trainee, you will work closely with senior engineers on real‑world projects, contributing to the development of production‑grade applications, RESTful APIs, and microservices. The role emphasizes the use of AI tools such as ChatGPT, GitHub Copilot, Cursor, and Gemini to enhance coding efficiency, debugging, testing, and documentation. Key responsibilities include: 1. Designing, coding, and testing Java‑based backend services using Spring Boot. 2. Building and maintaining REST APIs and microservices. 3. Writing clean, maintainable, and well‑documented code. 4. Collaborating with cross‑functional teams to integrate database and third‑party services. 5. Leveraging AI tools for code generation, bug detection, and performance optimization. 6. Applying prompt engineering techniques to improve AI‑assisted workflows. 7. Participating in code reviews and knowledge sharing sessions. 8. Contributing to the development of AI‑aware services and agentic AI frameworks. 9. Learning and adopting cloud and container technologies such as Docker and Kubernetes. 10. Continuously improving technical skills through mentorship and self‑learning. Tech stack: Java, Spring Boot, REST APIs, SQL, Git, Docker/Kubernetes, cloud platforms (AWS/Azure/GCP), AI development tools (ChatGPT, GitHub Copilot, Cursor, Gemini). Growth path: Starting as a graduate trainee, you can progress to roles such as Junior Java Developer, Software Engineer, Senior Engineer, and eventually lead engineering or product roles. Zycus offers structured learning programs, mentorship, and opportunities to work on high‑impact projects across multiple geographies. Why join Zycus? The company offers a competitive salary, a collaborative work environment, exposure to cutting‑edge AI technologies, and a clear career progression roadmap. Employees enjoy a healthy work‑life balance, flexible work arrangements, and a culture that encourages experimentation and innovation.

zycus β€” Data Analytics & SQL 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 🎯
zycus Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for zycus 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 (Java, Data Structures & Algorithms, Object‑Oriented Programming, Spring Boot, REST APIs, SQL, Git, AI tools (ChatGPT, GitHub Copilot, Cursor, Gemini), Prompt Engineering, Cloud & Containers (Docker, Kubernetes), Problem Solving, 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
zycus Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join zycus as a AI-Native Java Engineer – Graduate Trainee?
Preparation Tip: Highlight zycus'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.
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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