Senior Staff Data Platform Software Engineer (Java Distributed Systems & Kafka)

About the job

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

Job Description Overview

The  Data Platform  group builds highly scalable, high‑performance platform capabilities for data‑in‑motion and backend storage systems. Our customers operate at massive scale, pushing the boundaries of data volume, throughput, and concurrency. We are looking for a seasoned  IC5 Senior Staff Engineer  with deep expertise in  distributed systems and  Data Lake architectures  to drive next‑generation platform innovation.

Role Summary

As an IC5 Senior  Staff  Engineer, you will architect and deliver large‑scale distributed platform components, lead complex technical initiatives, and define engineering best practices. You will bring strong leadership, hands-on engineering depth, and the ability to design and operate reliable, scalable, and high‑performance data systems.

Key Responsibilities

- Architect, design, and build high‑performance distributed systems and platform components.

- Build distributed systems data ingestion solutions with strong emphasis on scalability, quality, and operational excellence.

- Deliver high‑quality, clean, modular, and reusable code while enforcing engineering best practices (code reviews, unit testing, automation, design reviews).

- Build foundational libraries, frameworks, and tools focused on modularity, extensibility, configurability, and maintainability.

- Collaborate across engineering teams to refine requirements and deliver end‑to‑end solutions.

- Provide technical leadership for projects with significant complexity and risk.

- Research, evaluate, and adopt new technologies that enhance platform capabilities.

- Troubleshoot and diagnose complex production issues across distributed systems.

Qualifications Required Skills & Experience   Experience Level

•  15–20 years  of hands‑on engineering experience in distributed systems, data platforms, or large‑scale backend infrastructure.

Core Engineering Expertise

- Strong fundamentals in distributed systems architecture, design patterns, and algorithms.

- Deep programming expertise in  Java , including JVM internals, memory models, and garbage collection.

- Proven experience in JVM performance tuning, profiling, and diagnosing performance bottlenecks.

- Strong understanding of concurrency, networking, sockets, OS internals, and performance optimization.

- Hands-on experience building and operating large‑scale distributed systems.

- Experience with relational databases such as Oracle, MySQL, or PostgreSQL.  Distributed Systems Expertise

- Experience with large‑scale deployments of  distributed systems .

- Deep knowledge of replication, fault-tolerant, and HA strategies.

- Experience working in DevOps environments to operationalize distributed platforms.

- Strong expertise in designing and architecting platforms using:

- Kubernetes ( workload deployments, upgrades, monitoring and maintenance)

- Apache Iceberg  (tables, catalogs, schema evolution, metadata management) is a plus

- Apache Kafka  (high‑scale clusters, topic/partition strategies, HA) is a plus

- Apache Flink  (stateful stream processing, exactly‑once semantics) is a plus

- Apache Spark  (batch & streaming jobs, optimization, partitioning) is a plus

- Expertise in data formats such as Parquet, ORC, and Avro, along with compaction and governance strategies.

- Ability to build scalable, fault‑tolerant ingestion and transformation workflows.

- Experience integrating Data Lakes with analytics engines, query services, or ML platforms.

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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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 globaltalentss@servicenow.com 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.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.