ServiceNow is seeking a skilled Staff Engineer to lead the design, development, and optimization of their observability and data engineering workflows. The role involves architecting data pipelines, implementing real-time processing, managing data streams, and ensuring pipeline reliability at scale. The position requires a blend of technical expertise and strategic leadership to guide teams and explore new technologies.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes.
- 10+ years of software/data engineering experience, with at least 5+ years hands-on in Cribl (Stream/Edge).
- Strong background in ETL pipelines, real-time streaming, and distributed data processing.
- Hands-on expertise with Apache Spark (Structured Streaming), Apache Flink, and Kafka Streaming.
- Deep understanding of observability data (logs, metrics, traces) and platforms such as Splunk, Elastic, Prometheus, Grafana, OpenTelemetry.
- Experience with Time Series Databases (TSDBs) such as VictoriaMetrics, InfluxDB, TimescaleDB, or ClickHouse.
- Proficiency in scripting/programming (Python, Go, or Java) for pipeline extensions and automation.