KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
KashiiUpdatez
REQUIREMENT_ID_312 β€’ 3-DAY_ACTIVE_POLICY

SDE Intern

Company
Company Spyne
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000/month
Location
Location Gurugram
Posted Date
Posted Date Today
JavaScript React.js Node.js REST APIs Git HTML CSS Data Structures Algorithms Basic SQL Problem Solving
πŸ“–
Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online coding test at Spyne.
πŸ“–
Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview patterns and sample questions asked by tech startups like Spyne.
πŸ“–
Comprehensive Interview Prep Resource Open Resource β†—
Covers coding, data structures, and system design topics that are frequently evaluated during Spyne's technical rounds.
πŸ“–
Algorithm Practice Problems Open Resource β†—
Offers a wide range of problems to practice coding efficiency and problem‑solving, aligning with Spyne's assessment style.

Pursuing or recently completed B.Tech / B.E. / BS / MS in Computer Science, Computer Engineering, Information Technology or related fields. Minimum aggregate of 60% (or CGPA 6.0/10). Open to candidates from IITs, NITs, BITS, NSUT, DTU and other premier institutes. No active backlogs at the time of joining. Expected graduation batch: 2025‑2027.

1
Round 1: Online coding test
2
Round 2: Technical interview (coding & system design)
3
Round 3: HR interview
Spyne is an AI‑first automotive retail startup that is reshaping how cars are marketed, showcased and sold. Founded on a generative‑AI visual platform for dealerships, the company has quickly expanded into a full‑stack retail ecosystem serving customers across the United States and Europe. Backed by $16β€―million in Seriesβ€―A funding from Vertex Ventures, Accel and other leading investors, Spyne is scaling its product suite, hiring top talent, and building a culture that blends cutting‑edge AI research with real‑world product delivery. The firm’s mission is to make car buying as seamless and personalized as online shopping, leveraging computer vision, large language models and data‑driven insights. As a Software Development Engineer (SDE) Intern, you will be embedded in Spyne’s Technology team and will get hands‑on exposure to both frontend and backend development. You will collaborate daily with seasoned engineers, product managers, and AI researchers to ship features that power the company’s flagship platform. The internship is designed for fast learners who enjoy turning abstract ideas into production‑grade code, debugging complex issues, and contributing to a product used by thousands of users worldwide. Key Responsibilities: 1. Design, develop, and ship frontend components using React.js. 2. Implement backend services and REST APIs with Node.js. 3. Write efficient database queries and contribute to data‑model design. 4. Translate UI/UX mockups and product requirements into functional, scalable features. 5. Debug production issues, perform root‑cause analysis, and optimise performance. 6. Participate in code reviews, enforce coding standards and best practices. 7. Collaborate with AI and data teams to integrate machine‑learning outputs into user‑facing features. 8. Maintain version control using Git and follow CI/CD pipelines. 9. Document technical decisions and create clear API documentation. 10. Take ownership of end‑to‑end delivery for assigned modules under mentorship. Tech Stack: React.js, JavaScript/TypeScript, Node.js, Express, PostgreSQL/MySQL, Git, AWS (basic), RESTful APIs. Growth Path: High‑performing interns are offered a Performance‑Based PPO (Pre‑Placement Offer) after the 6‑month stint, leading to a full‑time Software Engineer role with clear career ladders into senior engineering, AI integration, or product ownership tracks. Why Join Spyne? You will work on AI‑driven products that have tangible impact on the automotive market, receive mentorship from industry veterans, and experience the dynamism of a fast‑growing startup. The role offers real responsibility, a collaborative environment, and the chance to shape the future of digital car retailing.

Spyne 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 🎯
Spyne Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Spyne 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 (JavaScript, React.js, Node.js, REST APIs, Git, HTML, CSS, Data Structures, Algorithms, Basic SQL, Problem Solving) & 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
Spyne 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 Spyne as a SDE Intern?
Preparation Tip: Highlight Spyne's market reputation, recent tech innovations, and how your skills in JavaScript 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.

More Fresh Requirements in Software & Tech

View Category Feed β†—
Spyne
SDE Intern
Apply Apply Now β†—
Chat Chat with Kashii