[Backend] Software Engineering Intern

About the role

Systems handle massive scale using AI-first infrastructure and serverless computing. You work alongside experienced engineers on meaningful problems that directly impact customers like Canva and Notion.

Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.

Key facts

What you'll do

System design discussions integrate your ideas into internal implementation conversations.

Concepts turn into production systems through guided builds that close real backlog items.

Serverless architectures on AWS run scalable backend components that handle messy data and edge cases.

Proof-of-concepts connect backend systems with AI models to deliver real-time inference from model output.

When incidents occur, the team investigates failures to improve speed and resilience.

Requirements

The posting states a bachelor's degree requirement. Onsite presence in Bangalore is mandatory for this role.

You are pursuing a degree in Computer Science or Engineering from a Tier 1 college.

You demonstrate strong programming fundamentals in a modern language.

You have at least one prior internship in a relevant engineering or backend/AI role.

You show genuine interest in distributed systems, serverless computing, and AI-powered product features.

You possess sharp debugging, problem-solving, and analytical skills for backend architecture supporting AI.

Nice to have

Open-source contributions or backend/AI project experience strengthen your application.

Skills & tools

The role uses serverless infrastructure, AWS services, and AI-native platform tools.

Experience with distributed systems and real-time data pipelines is valuable in this environment.

Practical notes

This internship requires onsite work in Bengaluru and a relevant computer science background.

You will ship code to production and engage with enterprise customers such as Canva and Notion.

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

The engineering culture emphasizes open-source contributions and building on systems.

Interns own meaningful features with mentorship from engineers who scale AI-native platforms.

Learning happens by doing, with hands-on exposure to AI, data, and distributed systems.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.