Job Description

We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.

Responsibilities

  • Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
  • Architect and evolve our cloud infrastructure to support 1B+ daily events ensuring reliability, scalability, and cost efficiency.
  • Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
  • Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
  • Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous le...

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