Forget "fetch coffee and fix typos" internships. Heres whats on the table: Petabyte-scale video infrastructure. Weve already streamed over 500 hours of video. Youll get hands-on with the systems that make that possible not read about them in a blog post, actually touch them. AI, from scratch. Were building personalization and AI into the core of Marrows learning experience, and its still early. That means you wont be maintaining someone elses model pipeline youll help build one from the ground up. Real backend engineering, in Python and Go, backed by MongoDB and running on AWS the same stack our senior engineers use, no "intern sandbox" version. Systems that scale, not systems that theoretically could scale one day. Youll learn what breaks at scale, why it breaks, and how to fix it the kind of judgment you cant get from a tutorial. Solid fundamentals in Python or Go (or the drive to get sharp fast) Solid grasp of data structures, algorithms,



and problem-solving Curiosity to learn backend architecture, databases, security, scalability, caching, queues, background workers, distributed systems, and the cloud - you dont need to have built these before, you just need to want to Comfort (or excitement) working with AWS and cloud-native systems A builders mindset - youd rather ship something imperfect and improve it than wait for the "perfect" plan Genuine interest in healthcare, education, or AI bonus points if you can articulate why doctors deserve better tools

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📌 SDE Intern Backend (Bengaluru)
🏢 DailyRounds
📍 Bengaluru