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. Key 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. RequirementsMinimum Qualifications: BS or MS in Computer Science or a related field.4+ years building backend systems in Java (Spring / Spring Boot).Solid knowledge of multithreading, caching strategies, and distributed systems.Hands-on with Redis, Elasticsearch, and Kafka.Good communication, problem solving and teamwork skills. Preferred Qualifications: Experience in recommender or search system backends.Experience operating high-traffic, high-concurrency services.BenefitsOPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.The US base salary range for this contractor position is 60-120/hour. Our salary ranges are determined by role, level, and location.
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.
Key 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.
Requirements
Minimum Qualifications:
- BS or MS in Computer Science or a related field.
- 4+ years building backend systems in Java (Spring / Spring Boot).
- Solid knowledge of multithreading, caching strategies, and distributed systems.
- Hands-on with Redis, Elasticsearch, and Kafka.
- Good communication, problem solving and teamwork skills.
Preferred Qualifications:
- Experience in recommender or search system backends.
- Experience operating high-traffic, high-concurrency services.
Benefits
OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The US base salary range for this contractor position is 60-120/hour. Our salary ranges are determined by role, level, and location.
Based in the heart of Silicon Valley, OPPO US Research Center ( InnoPeak Technology) performs cutting-edge research in smartphone technologies, including but are not limited to computer vision, and video and image processing. With a staff comprised of talented scientists and engineers, InnoPeak Technology delivers algorithms and products that provide a positive impact on end users' daily interactions with technology, whether it be with smart devices, communication networks, or services in the cloud.
Based in the heart of Silicon Valley, OPPO US Research Center ( InnoPeak Technology) performs cutting-edge research in smartphone technologies, including but are not limited to computer vision, and video and image processing. With a staff comprised of talented scientists and engineers, InnoPeak Technology delivers algorithms and products that provide a positive impact on end users' daily interactions with technology, whether it be with smart devices, communication networks, or services in the cloud.
