{"id":844642,"url":"https://alion.io/job/innopeaktech-senior-backend-engineer-recommendation-systems-contractor","title":"Senior Backend Engineer - Recommendation Systems (Contractor)","company":{"id":679605,"name":"InnoPeak Technology","domain":"innopeaktech.com","url":"https://alion.io/company/innopeaktech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":276000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Java","optional":false},{"name":"Redis","optional":false},{"name":"Spring Boot","optional":false}],"status":"live","first_seen_at":"2025-10-14T00:00:00Z","employer_posted_date":"2025-10-14","last_verified_at":"2026-11-04T16:25:47Z","board_verified":true,"closed_at":null,"days_open":386,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":386},"description":"Join OPPO US Research Center’s core team to develop and optimize backend services for high-traffic products (App Store, Global Search, Game Center). You’ll build scalable, reliable systems that serve millions of daily users.\nKey Responsibilities:\nDesign and implement backend services for recommendation and search with a focus on low latency and high availability.\nImplement multi-level caching and optimize data access patterns.\nBuild, monitor and tune data pipelines and indices using Redis, Elasticsearch, and Kafka.\nDevelop production-quality Java services using Spring / Spring Boot and collaborate on deployments and incident response.\nWork cross-functionally with MLE, product, SRE, and data teams to deliver features and improvements.\nRequirements\nMinimum Qualifications:\nBS or MS in Computer Science or a related field.\n4+ years building backend systems in Java (Spring / Spring Boot).\nSolid knowledge of multithreading, caching strategies, and distributed systems.\nHands-on with Redis, Elasticsearch, and Kafka.\nGood communication, problem solving and teamwork skills.\nPreferred Qualifications:\nExperience in recommender or search system backends.\nExperience operating high-traffic, high-concurrency services.\nBenefits\nOPPO is proud to be an equal opportunity workplace. 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