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# Backend Software Engineer, Collaboration Runtime

- **Company:** Miro
- **Location:** San Francisco, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Server Applications, Software Debugging, Multiplexing, Distributed Systems, Java Virtual Machine (JVM), WebSocket, Multithreading, Backend, Kotlin, Real Time Data, Microservices
- **Published:** June 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/miro-backend-software-engineer-collaboration-runtime-oyaywf2k55

## About the Role

* Strong proficiency in Java or Kotlin, with a solid grasp of multithreading and JVM performance
 * Practical experience building and maintaining high-load distributed systems or microservices
 * Hands-on experience working with WebSockets and gRPC for real-time data transport
 * Familiarity with concurrency patterns and the ability to debug complex, stateful application issues
 * Ability to translate technical requirements into clean, testable code that integrates with complex backend proxies
 * Effective communication skills to collaborate with partner teams on API definitions and service integrations

## Description

The Collaboration Runtime team is moving from a board-centric monolith to a decoupled Collaboration Engine to enable "ubiquitous collaboration" across the entire company. As a Mid-level Engineer, you will be a key builder of this new platform, helping us solve the "legacy bottleneck" by implementing reusable real-time components that work for any app, from AI History to Dashboards. This role is open because we are scaling our infrastructure to support high-load, stateful applications beyond our traditional board use cases. You will be responsible for building the high-performance gRPC and WebSocket "plumbing" that makes real-time interaction seamless for millions of users.

What You'll Do

 * Implement core features of the Collaboration Engine and the Broadcast Application to ensure the AI History use case is production-ready by the end of Q1
 * Develop and optimize gRPC streaming support (unary, bidi, and server-side) within the collaboration proxy to enable complex real-time data flows
 * Build out the Application & Server Registry, enabling discovery and routing for new services like the CIS "live updates" dashboard
 * Execute the rollout of connection multiplexing between the RTC Gateway and application servers to improve system efficiency and scale
 * Write high-concurrency code in Java/Kotlin to manage WebSocket transport paths and ensure low-latency real-time client connectivity
 * Partner with AI and Platform teams to integrate their services with the Engine, ensuring high reliability and 99.9% uptime


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