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  • Netskope
  • Full time
  • Email
  • Taipei, Taiwan

Responsibilities

  • Design and evolve telemetry systems spanning global edge ingestion, processing, querying, and customer delivery.
  • Improve observability, SLOs, deployment safety, and production resilience across the data platform.
  • Build an AI-native semantic layer and agentic natural-language data experiences.
  • Develop high-throughput ingestion, processing, storage, query, routing, and delivery systems.
  • Lead cross-team technical initiatives, shape architecture through design reviews, and mentor engineers.

Requirements

  • 10+ years building and operating large-scale distributed systems, including significant Staff-level or equivalent technical scope.
  • Strong production coding ability in one or more of Go, Java, Python, or C++.
  • Experience designing reliable systems at scale, including observability, SLOs, incident response, and safe cloud deployment.
  • Experience with AWS or GCP, Kubernetes, HTTP/2, gRPC, Protocol Buffers, high-throughput data pipelines, and Parquet.
  • Demonstrated cross-team technical leadership and experience influencing architecture and design decisions.
  • Excellent written and verbal communication skills and ability to collaborate across globally distributed teams.
  • Familiarity with or strong interest in LLM-based systems, semantic layers, or AI data modeling.
  • BSCS or equivalent required; MSCS or equivalent strongly preferred.

Netskope

Netskope is a cloud security company focused on redefining how organizations manage cloud, network, and data security. Targeting enterprises that require robust security solutions, Netskope stands out through its innovative approach and commitment to creating a transparent and collaborative work ...

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