Innopeaktech

Innopeaktech

Senior Backend Engineer - Recommendation Systems (Contractor)

Palo Alto, California, United States · Senior · Contract

Sponsorship not specified$60k-$120kDetected 282 days ago
JavaSpringBackend DevelopmentRedisElasticsearchSite Reliability EngineeringData EngineeringResearchCommunicationProblem Solving

About the role

  • Hands-on with Redis, Elasticsearch, and Kafka.

Responsibilities

  • Design and implement backend services for recommendation and search with a focus on low latency and high availability.
  • Implement multi-level caching and optimize data access patterns.
  • Build, monitor and tune data pipelines and indices using Redis, Elasticsearch, and Kafka.
  • Develop production-quality Java services using Spring / Spring Boot and collaborate on deployments and incident response.
  • Work cross-functionally with MLE, product, SRE, and data teams to deliver features and improvements.
  • 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.

Requirements

  • Solid knowledge of multithreading, caching strategies, and distributed systems.

Nice to have

  • Experience in recommender or search system backends.
  • Experience operating high-traffic, high-concurrency services.
  • OPPO is proud to be an equal opportunity workplace.
  • We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Skills

  • Good communication, problem solving and teamwork skills.

Compensation

  • $60k-$120k

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
Apply directly at Innopeaktech →Create a free account for alerts like thisView Innopeaktech immigration profile

This listing is sourced directly from Innopeaktech's careers page and normalized into a canonical job model.