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REQUIREMENT_ID_1786 β€’ 3-DAY_ACTIVE_POLICY

[Backend, Onsite] Software Engineering Intern

Company
Company Job
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 20,000 per month
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Today
Python Node.js AWS Lambda Serverless Architecture Distributed Systems REST APIs Git Debugging Problem Solving Analytical Thinking
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills needed for the coding assessment.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical interview formats, common technical questions and tips to ace the interview process.
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Comprehensive Interview Prep Resource Open Resource β†—
A one‑stop resource for interview preparation, including resume building, mock interviews and HR round strategies.
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Algorithm & Data Structure Problem Set Open Resource β†—
Extensive collection of coding problems to practice implementation of data structures and algorithms frequently asked in technical rounds.

Pursuing B.Tech/M.Tech in Computer Science, Computer Engineering, Information Technology, Electronics & Communication or related streams from a Tier‑1 college; minimum 60% CGPA or equivalent; batch graduating between 2024‑2026; no active backlogs; at least one prior internship in software/backend or AI domain; strong programming fundamentals in any modern language.

1
Round 1: Online coding assessment
2
Round 2: Technical interview (system design & backend concepts)
3
Round 3: HR interview (culture fit and internship expectations)
Enterpret is an AI‑native startup that has built a customer intelligence platform capable of turning massive volumes of unstructured feedback into a clean, queryable knowledge base. Backed by Kleiner Perkins and Sequoia Capital, the company serves high‑profile product teams such as Canva, Notion and Wispr Flow, helping them make data‑driven decisions at scale. Their engineering philosophy revolves around open‑source tooling, serverless architectures, and real‑time analytics, allowing them to iterate quickly while handling millions of events daily. The Backend Software Engineering Intern will join a tight‑knit backend team that is responsible for the core services powering the platform. This is not a peripheral β€œshadow” role – interns are expected to take ownership of end‑to‑end features, from design discussions to production deployment. Working closely with senior engineers, the intern will gain hands‑on experience with distributed systems, AWS serverless services, and AI‑driven pipelines. The role offers a rare chance for a fresher to see how a modern AI‑centric product is built, operated, and scaled in a real‑world environment. Key Responsibilities: 1. Participate in system design meetings and contribute ideas for new backend services. 2. Build and ship production‑ready code on AWS serverless platforms (Lambda, API Gateway, DynamoDB, etc.). 3. Develop proof‑of‑concept integrations that connect AI model outputs to real‑time inference APIs. 4. Write unit, integration and performance tests to ensure reliability under heavy load. 5. Debug production incidents, perform root‑cause analysis, and implement resiliency improvements. 6. Collaborate with data scientists and product engineers to translate AI features into backend APIs. 7. Document APIs, design decisions, and operational runbooks for future maintainers. 8. Contribute to open‑source libraries or internal tooling where applicable. 9. Stay updated with the latest trends in serverless computing, distributed systems and AI deployment. 10. Mentor junior interns or peers on best coding practices and cloud‑native development. Tech Stack: Python, Node.js, AWS Lambda, API Gateway, DynamoDB, S3, CloudWatch, Terraform, Docker, Git, CI/CD pipelines, REST/GraphQL, and various AI/ML model serving frameworks. Growth Path: Successful interns may receive a Pre‑Placement Offer (PPO) and can progress to full‑time Backend Engineer, eventually moving into senior or lead roles, or specialize in AI‑infrastructure, site reliability engineering, or product ownership. Why Join Enterpret? You will see your code impact marquee customers from day one, work alongside engineers who have shipped AI‑native systems at scale, and benefit from a mentorship‑rich environment that values curiosity, ownership, and continuous learning. The internship is a launchpad, not a side project, and offers a competitive stipend along with the possibility of a full‑time offer.

Job β€” Software Engineering & Full Stack 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 🎯
Job Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Job 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 (Python, Node.js, AWS Lambda, Serverless Architecture, Distributed Systems, REST APIs, Git, Debugging, Problem Solving, Analytical Thinking) & 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
Job Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer β–Ό
Model Answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer β–Ό
Model Answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer β–Ό
Model Answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer β–Ό
Model Answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer β–Ό
Model Answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Why do you want to join Job as a [Backend, Onsite] Software Engineering Intern?
Preparation Tip: Highlight Job'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.
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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