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The Media Platform team builds the unified backend platform that powers media ingestion, processing, intelligence, and delivery for Uber’s Safety ecosystem. We enable real-time streaming, media processing, media intelligence, and compliant storage at global scale so Safety teams can build impactful products without worrying about scale, privacy, or infrastructure. As a Staff Backend Engineer, you will shape the architecture and technical direction of a platform that directly impacts rider and driver safety worldwide. You will help build the systems that empower Uber to prevent safety risks, respond in real time, and drive accurate, trustworthy decisions using intelligent media insights.
Job Responsibility:
Architect and evolve Uber’s Media Platform backend systems for ingestion, processing, storage, and delivery of real-time and recorded media
Lead cross-team technical initiatives that improve reliability, scalability, cost efficiency, and compliance of media systems
Define and enforce platform standards for performance, privacy, retention, and operational excellence
Partner with Safety, Legal, and Product teams to translate complex requirements into scalable platform capabilities
Mentor senior engineers and act as a technical multiplier across the organization
Requirements:
10+ years of backend engineering experience, with deep expertise in distributed systems and large-scale service architecture
Strong proficiency in one or more backend languages (e.g., Go, Java, or similar) and experience building high-availability microservices
Proven experience designing and operating systems that handle high throughput, low latency, and strict reliability requirements
Nice to have:
Experience building or operating media systems (e.g., video ingestion, streaming pipelines, transcoding, storage, CDN integration)
Familiarity with media container formats, codecs, and streaming protocols such as MP4, HEVC, H.264, VP9, JPEG, HLS, and DASH
Strong understanding of event-driven architectures (Kafka/PubSub), real-time streaming systems, and asynchronous processing pipelines
Experience working with privacy, data retention, compliance, and security-sensitive systems
Demonstrated Staff-level impact: technical leadership across teams, setting architecture direction, mentoring senior engineers, and driving multi-quarter initiatives