Senior Staff Data Platform Software Engineer (Java, Kafka, Kubernetes)

The Data Platform group builds highly scalable highperformance platform capabilities for datainmotion 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 data ingestion pipelines and Data Lake architectures to drive nextgeneration platform innovation.

Role Summary: As an IC5 Senior Staff Engineer you will architect and deliver largescale 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 highperformance data systems.

 Key Responsibilities

• Architect design and build highperformance distributed systems and platform components.
• Build distributed systems data ingestion solutions with strong emphasis on scalability quality and operational excellence.
• Design software that is easy to use extend and customize for customerspecific environments.
• Deliver highquality 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 endtoend 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 :

To be successful in this role you have:

 Experience Level

15 to 20 years of handson engineering experience in distributed systems data platforms or largescale backend infrastructure.

Core Distributed Systems 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 largescale distributed systems.
• Experience with relational databases such as Oracle MySQL or PostgreSQL.

Streaming & Messaging Systems

• Experience with largescale deployments of Kafka or similar streaming platforms.
• Deep knowledge of stream processing topic design partitioning replication and HA strategies.
• Experience working within DevOps environments for operationalizing distributed platforms.
• Demonstrated experience architecting and delivering fullstack Data Lake solutions.
• Strong expertise in designing and operating data ingestion pipelines using:

• Apache Iceberg (tables catalogs schema evolution metadata management)
• Kafka Connect (source/sink connectors distributed mode)
• Apache Kafka (highscale clusters topic/partition strategies HA)
• Apache Flink (stateful stream processing exactlyonce semantics)
• Apache Spark (batch & streaming jobs optimization partitioning)

• Expertise in data formats such as Parquet ORC and Avro along with compaction and governance strategies.
• Ability to build scalable faulttolerant ingestion and transformation workflows.
• Experience integrating Data Lakes with analytics engines query services or ML platforms.

Additional Information :

Work Personas

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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 addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

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Remote Work :

No

Employment Type :

Full-time