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About the Role

The EDGE Discovery team at Crunchyroll powers content discoverability experiences across the platform by building and evolving backend systems for seamless discovery, browsing, searching, and engagement with Crunchyroll’s catalog through personalized, highly scalable experiences. This role involves driving technical direction and architecture for services that power Crunchyroll’s discovery ecosystem, partnering with various teams to build scalable backend platforms that improve content discoverability and user engagement.

Responsibilities

Design, develop, and evolve scalable backend systems that power search, recommendations, personalization, and content discovery experiences across Crunchyroll platforms
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 that support high-throughput user experiences
Partner closely 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 engineering best practices around API design, data consistency, caching strategies, asynchronous processing, resiliency, and monitoring
Identify and proactively address performance bottlenecks, scaling challenges, and operational risks across discovery systems
Support experimentation and A/B testing frameworks that enable rapid iteration on discovery and recommendation experiences
Mentor engineers and provide technical leadership through design reviews, architecture discussions, and cross-team collaboration
Influence long-term technical direction and build alignment across multiple engineering organizations
Champion engineering excellence through pragmatic improvements to tooling, automation, documentation, and operational workflows

Requirements

8+ years of experience 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 services in production environments with strong understanding of scalability, fault tolerance, observability, and reliability engineering principles
Strong experience with large-scale video streaming, media, or consumer content platforms, including an understanding of the performance, reliability, and scale requirements of streaming user experiences
Experience with search systems, recommendation platforms, personalization systems, metadata services, or large-scale content delivery architectures, preferably in a streaming environment
Strong understanding of caching strategies, asynchronous processing, event-driven architectures, and distributed data consistency patterns
Experience with AWS or similar cloud platforms, including modern infrastructure and deployment patterns
Familiarity with experimentation platforms, analytics pipelines, or machine learning integration workflows is a plus
Experience improving engineering productivity through platform capabilities, automation, tooling, or developer experience initiatives
Excellent problem-solving, communication, and technical leadership skills
Proven ability to collaborate effectively across engineering, product, platform, and data organizations
Ability to influence technical direction and drive alignment in highly cross-functional environments
Strong sense of ownership and empathy for both internal engineering teams and end-user experience

Skills

Backend development
Distributed systems design
API architecture
Cloud-native technologies
Scalability
Fault tolerance
Observability
Reliability engineering
Video streaming platforms
Media platforms
Consumer content platforms
Search systems
Recommendation platforms
Personalization systems
Metadata services
Content delivery architectures
Caching strategies
Asynchronous processing
Event-driven architectures
Distributed data consistency patterns
AWS
Experimentation platforms
Analytics pipelines
Machine learning integration
Platform capabilities
Automation
Tooling
Developer experience

Location

San Francisco, CA

Work Type

Hybrid

Experience Level

Senior
8+ years of experience

Salary/Compensations

$203,400—$235,000 USD

Benefits

Performance bonus earning potential
Flexible time off policies
Medical, dental, vision, STD, LTD, and life insurance
Health Saving Account HSA program
Health care and dependent care FSA
401(k) plan, with employer match
Employer paid commuter benefit
Support program for new parents
Pet insurance

About the Company

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community, super-serving over 100 million anime and manga fans across 200+ countries and territories.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

Equal Opportunity

We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.