Staff Data Engineer- Cribl

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
We are seeking a highly skilled Staff Engineer with strong expertise in Cribl Pipelines and data streaming to lead the design, development, and optimization of our observability and data engineering workflows. The ideal candidate will bring hands-on experience with Cribl Stream/Edge, advanced ETL practices, real-time streaming frameworks (Spark, Flink, Kafka), and deep knowledge of observability platforms (Splunk, Prometheus, Grafana, TSDBs). This role is both technical and strategic, requiring deep problem-solving skills, architectural vision, and the ability to mentor and guide engineering teams.
What you get to do in this role:

• Cribl Pipelines: Architect and optimize large-scale data pipelines using Cribl Stream and Cribl Edge for ingestion, transformation, and routing.
• Streaming & Real-Time Processing: Design and implement real-time data pipelines using Apache Spark, Apache Flink, and Kafka Streaming to handle high-throughput, low-latency observability data.
• ETL/Data Engineering: Apply advanced ETL practices to cleanse, enrich, filter, and normalize diverse data sources before downstream ingestion.
• Observability Data Management: Manage high-volume telemetry data (logs, metrics, traces, events) and design strategies for noise reduction, performance optimization, and cost control.
• Integration: Build robust integrations with Splunk, Elasticsearch, Kafka, S3, Prometheus, VictoriaMetrics, InfluxDB, and other TSDBs.
• Scalability & Performance Tuning: Ensure Cribl and streaming pipelines perform reliably at scale, handling high-cardinality and high-throughput datasets.
• Best Practices & Governance: Define and enforce observability ingestion best practices, schema governance, and data quality standards.
• Leadership & Mentorship: Guide engineers in pipeline design, streaming technologies, and observability best practices.
• Innovation: Explore emerging technologies in observability, streaming, and AI-driven analytics to continuously improve architecture.

Qualifications
To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• 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.
• Strong knowledge of Kafka, S3, cloud-native services (AWS/GCP/Azure) for data transport and storage.
• Experience with scalability, performance tuning, and cost optimization in observability pipelines.
• Strong collaboration and leadership skills to influence cross-functional teams.
• Exposure to AI/ML-based anomaly detection or predictive observability use cases.

• • Previous Staff/Principal Engineer experience in large-scale data systems.
FD21
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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