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Rust Developer - Microservices Architecture

YRAL
Anywhere in India/Multiple Locations
4 - 7 Years

Posted on: 29/07/2025

Job Description

About Us

Yral is a decentralized social media platform (like TikTok) with integrated Prediction Markets, built on Internet Computer Protocol. The platform provides monetization avenues for 4.65 Billion social media lurkers (passive users) by enabling them to speculate on the short-video content created by other users on the platform. The vision is to create a user-driven and governed social media ecosystem with the users in the center.


Not only would the users be given the majority share of the wealth that is being generated in the ecosystem, but the users will also have complete control over the various aspects of the platform such as governance, content moderation, development, and management, making the ecosystem more equitable and user-centric. We, at Yral, are looking for an experienced Rust developer to help us build an internet scale backend.


About the Role


We're building our backend on the Internet Computer which promises web scale serverless backends hosted on trustless decentralized infrastructure.


Our ideal candidate is :

- Excited about working with Rust

- 4 -7 years of experience in shipping production applications

- BTech in Computer Science Engineering from Tier 1 Colleges desirable

- Understand the finer details of working with the Rust compiler and compiling to alternate targets such as WebAssembly

- Experienced with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs

- Comfortable working with a Git-style workflow where every commit deploys to a staging environment and merged pull requests deploy to production


- Strong proficiency in Rust programming language with hands-on experience developing backend systems.


- Solid understanding of backend architectures, microservices, and API design (REST, GraphQL).


- Experience working with databases (SQL and/or NoSQL), designing schemas, and writing efficient queries.


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