🏢 job-boards.greenhouse.io
[Backend, Onsite] Software Engineering Intern
💼 Internship
📍 Bengaluru, Karnataka
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🛠 Skills Required
Python
Node.js
AWS Lambda
Serverless Architecture
Distributed Systems
REST APIs
Git
Debugging
Problem Solving
Analytical Thinking
🎤 Interview Experience
Candidates typically face a timed online coding test focusing on data structures and algorithms, followed by a technical interview that dives deep into backend concepts, system design, and AWS serverless services. The HR round assesses cultural fit and internship expectations. Preparation should include hands‑on practice with serverless frameworks and clear articulation of past project experiences.
🏢 Work Culture
Greenhouse is known for fostering a collaborative, fast‑paced environment where engineers are encouraged to experiment and iterate quickly. Employees benefit from transparent communication, regular learning sessions, and a strong emphasis on work‑life balance, making it an attractive place for early‑career talent.
🎯
Don't miss this opportunity!
Apply before 30 Oct 2026 — only 15 days left
Creator Pick · Promoted by Creator
📚 Free Study Materials (4)
Aptitude Practice Questions
Curated quantitative and logical reasoning problems to sharpen the analytical skills needed for the coding assessment.
Open Resource ↗
Company Interview Preparation Guide
Comprehensive guide covering typical interview formats, common technical questions and tips to ace the interview process.
Open Resource ↗
Comprehensive Interview Prep Resource
A one‑stop resource for interview preparation, including resume building, mock interviews and HR round strategies.
Open Resource ↗
Algorithm & Data Structure Problem Set
Extensive collection of coding problems to practice implementation of data structures and algorithms frequently asked in technical rounds.
Open Resource ↗
✅ Eligibility Criteria
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.
🎯
Don't miss this opportunity!
Apply before 30 Oct 2026 — only 15 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online coding assessment → Round 2: Technical interview (system design & backend concepts) → Round 3: HR interview (culture fit and internship expectations)
📋 About the Role
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 “shadow” 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.
🎯
Don't miss this opportunity!
Apply before 30 Oct 2026 — only 15 days left
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📋 Quick Info
JOB ID
C176-J258
POSTED
-11898s ago
TYPE
Internship
BATCH
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