Innopeaktech

Innopeaktech

Backend Engineer, Generative AI Services

Palo Alto, California, United States · Full-time

Sponsorship not specified$100k-$200kDetected 392 days ago
PythoniOSAndroidDjangoFlaskDistributed SystemsBackend DevelopmentNoSQLPostgreSQLMySQLMongoDBRedisAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsRESTKafkaMachine LearningDeep Learning

About the role

  • OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team.
  • You will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones.
  • Solid understanding of microservices architecture, asynchronous processing, and event-driven systems.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Proficiency in Python and one of the associated web frameworks (e.g., Flask, Django).
  • Demonstrable experience with at least one major cloud platform (AWS, Azure, or GCP) Experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., Firestore, MongoDB).
  • Experience with version control systems, particularly Git.
  • Strong problem-solving skills, with the ability to debug complex systems and diagnose issues across the stack.

Nice to have

  • Master's degree in Computer Science, AI, or a related field.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Knowledge of data streaming technologies (e.g., Kafka, GCP Pub/Sub).
  • Experience with caching technologies (e.g., Redis, Memcached).
  • OPPO is proud to be an equal opportunity workplace.
  • We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Compensation

  • $100k-$200k

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

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