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What you'll do

• Lead the design and scaling of distributed backend systems for media ingestion, processing, and delivery.
• Enhance performance, reliability, and cost efficiency of high-throughput media pipelines.
• Develop infrastructure to integrate and execute ML inference workloads within media systems efficiently.
• Drive technical strategy and architectural decisions across the Media Platform team.
• Mentor engineers to improve engineering excellence, operational rigor, and system design.

What we're looking for

• 10+ years of backend engineering experience with expertise in distributed systems and large-scale service architecture.
• Proficiency in Go, Java, C++, or similar languages for system design, performance optimization, and reliability.
• Experience building high-throughput, low-latency services handling large data volumes (streaming, storage, media).
• Familiarity with ML-powered systems including model inference integration and optimizing ML workloads in production.
• Deep understanding of distributed systems fundamentals and experience designing privacy-aware or compliance-driven systems.