Hybrid Senior Staff Data Platform Engineer Iceberg Spark

ServiceNow, Inc.; San Diego (CA); Hybrid; USD 181,000 - 317,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Family leave programs

Flexible time away plan

Job summary

ServiceNow, Inc. is seeking an IC5 Senior Staff Engineer in the San Diego area to architect large-scale distributed platform components and lead technical initiatives.

You will design and operate reliable, scalable data systems, and guide cross-functional teams in building data ingestion pipelines with emphasis on performance and reliability. This role involves working with Data Lake architectures, streaming platforms like Kafka and Spark, and collaborating to deliver end-to-end solutions in a

Qualifications

• 10+ years of software development experience with a Bachelor's degree or equivalent.
• Experience in distributed systems architecture and design patterns.
• Strong Java expertise including JVM internals and GC.

Responsibilities

• Architect and deliver large-scale distributed platform components.
• Lead complex technical initiatives and define engineering best practices.
• Design and operate reliable, scalable data systems.
• Build data ingestion pipelines with scalability, quality, and operational excellence.
• Collaborate across engineering teams to refine requirements and deliver end-to-end solutions.
• Provide technical leadership for projects with significant complexity and risk.

Skills

Java

JVM tuning

Distributed systems

Data ingestion

Kafka

Spark

Data Lake

Cloud

Education

Bachelor's degree

Master's degree

PhD

Tools

Apache Iceberg

Apache Spark

Parquet/ORC/Avro

Job description

ServiceNow, Inc. is seeking an IC5 Senior Staff Engineer in the San Diego area to architect large-scale distributed platform components and lead technical initiatives.

You will design and operate reliable, scalable data systems, and guide cross-functional teams in building data ingestion pipelines with emphasis on performance and reliability. This role involves working with Data Lake architectures, streaming platforms like Kafka and Spark, and collaborating to deliver end-to-end solutions in a