Staff Software Engineer, Media Experiences
Leads technical architecture for Reddit's global media infrastructure, designing scalable systems for video/audio ingestion, processing, and delivery. Partners with cross-functional teams to optimize pipelines, integrate AI, and mentor engineers, requiring 8+ years in distributed systems.
About the job
Key Responsibilities
- 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.
- Accelerate product roadmap: Closely partner with XFNs to identify product opportunities to increase media consumption at Reddit.
- 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, content understanding, and GenAI.
- 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.
Qualifications
- 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.
Skills
Distributed Systems, Microservices, Event-Driven Architectures, Media Processing, Video Ingestion, Audio Processing, Transcoding, Cdn, Ai/Ml Integration, Slos/Slas, Backend Services, Kubernetes, Docker, AWS, Python
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