Description

  • Design indexing systems with a strong focus on latency, scalability, and reliability.
  • Build and maintain high-performance indexing platform services in Go and Python.
  • Develop real-time event processing and asynchronous batch jobs from diverse data sources.
  • Collaborate with backend engineers and machine learning engineers to integrate indexing services with ML systems.
  • Support critical product features such as enterprise search, user feed ranking, and content understanding.
  • Work on system architecture across Kubernetes, Kafka, Redis, Postgres, and internal or third-party APIs.
  • Implement resilience, monitoring and alerting, and automation across the platform.
  • Deliver end-to-end backend features from design through production.

Requirements

  • Proficiency in Python and Go.
  • Strong knowledge of object-oriented programming, design patterns, and clear, testable code.
  • Strong expertise in testing, including unit and integration testing.
  • Hands-on experience with Kubernetes, Kafka, and Redis at user/admin level.
  • Familiarity with AWS and/or Google Cloud for deployment and scaling.
  • Experience building backends for large-scale B2C applications with 10M+ daily active users.
  • Experience optimizing systems for high throughput and reliability.
  • Product engineering experience with a track record of shipping features from design to production.

Interested in this position?

Apply directly on the company website

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