Principal Observability Engineer: Tracing & AI Platform

Workday, Inc.

Pleasanton (CA)

Hybrid

USD 223.000 - 334.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Flexible work options

Zusammenfassung

Workday, Inc. is seeking a senior engineering leader to own the technical vision for the distributed tracing portion of our Observability Platform.

You’ll architect and build a multi-petabyte, low-latency tracing system on ClickHouse/Tempo with a big-data pipeline (Kafka, Spark/Flink, Iceberg) on AWS, and guide multiple teams toward scalable, reliable operations. You will mentor senior engineers, drive architecture decisions, and push for AI-driven incident triage and anomaly detection across

Qualifikationen

  • 14+ years experience in software development engineering.
  • 6+ years designing, building, and operating complex distributed systems.
  • 8+ years experience with two or more of Java, Python, Go, including production-grade distributed systems.
  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred or equivalent practical experience.

Aufgaben

  • Own the technical vision and architecture for distributed tracing within Workday's Observability Platform.
  • Design and build multi-petabyte, low-latency tracing infrastructure end-to-end.
  • Define direction across teams; mentor senior and staff engineers; act as primary architect for tracing subsystem.
  • Lead ingestion/storage design, query performance, and platform reliability for tracing data.

Kenntnisse

Java
Python
Go
Distributed systems
API development
Big data processing

Ausbildung

Bachelor's degree in CS/Engineering
Master's degree preferred

Tools

Kafka
Spark/Flink
Iceberg
ClickHouse
Tempo
S3
Grafana

Jobbeschreibung

Workday, Inc. is seeking a senior engineering leader to own the technical vision for the distributed tracing portion of our Observability Platform.

You’ll architect and build a multi-petabyte, low-latency tracing system on ClickHouse/Tempo with a big-data pipeline (Kafka, Spark/Flink, Iceberg) on AWS, and guide multiple teams toward scalable, reliable operations. You will mentor senior engineers, drive architecture decisions, and push for AI-driven incident triage and anomaly detection across

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