{"id":2137768,"url":"https://alion.io/job/crunchyroll-senior-software-engineer-edge-discovery","title":"Senior Software Engineer (EDGE Discovery)","company":{"id":40459,"name":"Crunchyroll","domain":"crunchyroll.com","url":"https://alion.io/company/crunchyroll-news","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":203400,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:09:57Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T03:27:50Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Join Crunchyroll, a leading streaming platform for anime and manga. As a Senior Software Engineer on the EDGE Discovery team, you will drive the technical direction and architecture of the services that power Crunchyroll's discovery ecosystem. You will design, develop, and evolve scalable backend systems that enhance content discoverability and user engagement. This role requires strong proficiency in backend development, distributed systems design, and cloud-native technologies.\nMissions\nDesign, develop, and evolve scalable backend systems that power search, recommendations, personalization, and content discovery experiences across Crunchyroll platforms.\nLead architectural decisions for distributed systems with a focus on scalability, low latency, resiliency, observability, and operational excellence.\nDrive backend platform improvements that enhance developer productivity, deployment safety, and service reliability.\nProfil recherché\n - This role is ideal for someone who enjoys solving complex challenges in distributed systems, scaling high-traffic backend services, and building systems that directly impact how millions of users discover and experience content- Experience building backend systems for large-scale streaming, media, or other consumer content platforms is strongly preferred for this role\n- Experience with search systems, recommendation platforms, personalization systems, metadata services, or large-scale content delivery architectures, preferably in a streaming environment\n- Strong proficiency in backend development, distributed systems design, API architecture, and cloud-native technologies\n- Proven ability to collaborate effectively across engineering, product, platform, and data organizations\n- Excellent problem-solving, communication, and technical leadership skills\n- Strong understanding of caching strategies, asynchronous processing, event-driven architectures, and distributed data consistency patterns\n- Experience with AWS or similar cloud platforms, including modern infrastructure and deployment patterns\n- Strong sense of ownership and empathy for both internal engineering teams and end-user experience\n- 8+ years of experience designing and building large-scale backend systems and microservices architectures\n- 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\n- Experience improving engineering productivity through platform capabilities, automation, tooling, or developer experience initiatives\n- We are looking for a highly motivated engineer with deep backend engineering expertise and a strong track record of building scalable distributed systems\n- Familiarity with experimentation platforms, analytics pipelines, or machine learning integration workflows is a plus\n- Ability to influence technical direction and drive alignment in highly cross-functional environments\n- Experience operating high-traffic services in production environments with strong understanding of scalability, fault tolerance, observability, and reliability engineering 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