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# Staff Software Engineer, Media Experiences

- **Company:** reddit Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $217,000.0 - $303,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Distributed Systems, Software Engineering, Transcoding, Backend, Event Driven Architecture, Microservices
- **Published:** July 4, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p1owmck0jb

## About the Role

* 8+ years of professional software engineering experience, with a proven track record as a Technical Lead or Staff Engineer.
 * Distributed Systems Expertise: Proven track record of designing and operating large-scale distributed systems, event-driven architectures, and microservices.
 * Communication: Exceptional written and verbal communication skills. Ability to influence technical direction and navigate tradeoffs between performance, reliability, and business impact without directly managing the engineers involved.
 * Demonstrated ability to lead large, cross-functional engineering initiatives that balance technical excellence.

## Description

* Architect for Scale: Lead the design and evolution of our global media processing and delivery infrastructure, ensuring low-latency, high-availability media for millions of users.
 * Optimize Media Pipelines: Build and optimize resilient backend services for video/audio ingestion, distributed transcoding, and CDN routing.
 * Drive AI Integration: Partner with ML/AI teams to build a roadmap that supports media recommendation, intelligent content moderation, and GenAI inference.
 * Set the Standard: Establish engineering best practices, design the next generation of our media services, define strict SLOs/SLAs for our media operations.
 * Mentorship & Leadership: Guide and empower multiple engineering teams. Translate complex product requirements into actionable technical roadmaps and drive alignment across the company.
 * Leverage Modern Tooling: Thoughtfully utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgment to validate and own the final outputs. Evangelize AI as a tool.


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