Senior Staff Data Platform Engineer – Java Distributed Systems & Kafka
ServiceNow · Hyderabad
| Company | ServiceNow |
|---|---|
| Role | Senior Staff Data Platform Engineer – Java Distributed Systems & Kafka |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
ServiceNow is hiring an IC5 Senior Staff Engineer for its Data Platform group in Hyderabad. The group builds fast platform services for streaming data and back-end storage that customers run at very large scale.
You will architect and deliver large distributed platform components and data lake ingestion, lead complex initiatives and set engineering standards. The role needs deep Java and JVM skills and strong distributed systems design.
Eligibility
- 15 to 20 years of hands-on work in distributed systems, data platforms or backend infrastructure
- Deep Java expertise, including JVM internals, memory and garbage collection
- Proven JVM performance tuning and profiling
- Strong knowledge of replication, fault tolerance and high availability
- Kubernetes plus Kafka, Iceberg, Flink or Spark experience
Skills required
What you will do
- Architect and build high-performance distributed components
- Build scalable, fault-tolerant data ingestion
- Create reusable libraries and frameworks
- Lead high-risk, complex technical projects
- Diagnose hard production issues across distributed systems
How to apply
- Open the official ServiceNow job page with the Apply button and submit your application there.
- Tailor your resume to large distributed systems you designed, JVM tuning you did and data platforms you ran.
Before the interview, prepare:
- JVM tuning: GC choices, heap sizing and reading GC logs
- Kafka at scale: partition strategy, replication and consumer lag
- Iceberg: snapshots, schema evolution and compaction
- Fault tolerance: replication, consensus and exactly-once processing
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