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Senior Software Engineer, EDGE Discovery

Crunchyroll · San Francisco, CA, United States

hybridsenior$203,400–$203,400Posted Sep 22, 2026AWSmicroservicesdistributed systemsAPIssearchrecommendationspersonalizationevent-driven architectures

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About this role

**Senior Software Engineer, EDGE Discovery — Crunchyroll** ## About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, powered by the anime content we all love. ## About the role The **EDGE Discovery** team at Crunchyroll powers content discoverability experiences across the platform. We build and evolve backend systems that enable anime fans worldwide to discover, browse, search, and engage with Crunchyroll’s catalog through personalized, highly scalable experiences. Our systems power critical user journeys including **home page personalization, search, recommendations, metadata delivery, content ranking, and discovery APIs** across all Crunchyroll platforms and devices. We work at the intersection of backend platform engineering, large-scale distributed systems, and machine-learning enablement—focused on **performance, scalability, relevance, and reliability**. As a **Backend Senior Engineer**, you’ll help drive the technical direction and architecture of services that power Crunchyroll’s discovery ecosystem, partnering with engineering, product, data, and machine learning teams to build scalable backend platforms that improve discoverability and engagement while enabling teams to iterate quickly and safely. ## What you will be doing - Design, develop, and evolve scalable backend systems powering **search, recommendations, personalization, and content discovery** - Lead architectural decisions for distributed systems with a focus on **scalability, low latency, resiliency, observability, and operational excellence** - Build and optimize **APIs, metadata services, indexing pipelines, ranking systems, and recommendation infrastructure** - Partner with **product, machine learning, data, and platform** teams to improve discovery relevance, personalization quality, and experimentation capabilities - Drive backend platform improvements that enhance **developer productivity, deployment safety, and service reliability** - Define and implement best practices for **API design, data consistency, caching, asynchronous processing, resiliency, and monitoring** - Identify and proactively address **performance bottlenecks, scaling challenges, and operational risks** - Support **experimentation and A/B testing** frameworks for rapid iteration - Mentor engineers and provide technical leadership through **design reviews and cross-team collaboration** - Influence long-term technical direction and build alignment across engineering organizations - Champion engineering excellence via improvements to **tooling, automation, documentation, and operational workflows** ## About you (requirements) - **8+ years** designing and building large-scale backend systems and microservices architectures - Strong proficiency in **backend development, distributed systems design, API architecture, and cloud-native technologies** - Experience operating **high-traffic production services** with strong understanding of **scalability, fault tolerance, observability, and reliability engineering** - Strong experience with **large-scale video streaming, media, or consumer content platforms** (performance, reliability, and scale) - Experience with **search, recommendation, personalization, metadata services, or large-scale content delivery** (preferably streaming) - Strong understanding of **caching, asynchronous processing, event-dr

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