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

Architect and deliver large-scale distributed platform components focused on scalability, quality, and operational excellence.

Lead complex technical initiatives and define engineering best practices including code reviews, unit testing, automation, and design reviews.

Provide technical leadership on complex projects, troubleshoot production issues, and research/adopt technologies to enhance platform capabilities.

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

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

Proven experience with distributed systems architecture, Kubernetes, and expertise in data ingestion solutions at scale.

Experience with relational databases (Oracle, MySQL, or PostgreSQL) and knowledge of replication, fault-tolerance, and high availability strategies.

Senior-level engineer with demonstrated ability to design and operate reliable, scalable distributed systems at very large scale.

Strong background in JVM and Java performance optimization with hands-on DevOps experience for operationalizing distributed platforms.

Experienced in building modular, extensible platform components and collaborating cross-functionally to deliver end-to-end data pipeline solutions.