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Strong employer brand and metro Hyderabad, but highly senior niche role reduces applicant density.
Role requires niche data-platform and distributed-systems expertise, limiting cross-industry transferability.
Very senior years requirement and deep distributed systems/JVM expertise enforce strict filters.
Architect and deliver large-scale distributed platform components focused on data ingestion and transformation with scalability and operational excellence.
Lead complex technical initiatives and define best engineering practices including code reviews, unit testing, and automation.
Provide technical leadership and troubleshoot complex production issues in distributed systems environments.
15–20 years of hands-on experience in distributed systems, data platforms, or large-scale backend infrastructure.
Strong expertise in Java including JVM internals, memory management, and performance tuning.
Experience designing and operating large-scale distributed systems, familiarity with relational databases like Oracle, MySQL, or PostgreSQL.
Experience with distributed system design concepts including replication, fault tolerance, and high availability.
Senior-level individual contributor with deep expertise in distributed systems architecture and engineering leadership.
Expert in Java distributed systems programming, JVM performance optimization, and large-scale platform operations.
Experience with scalable data platform technologies (Kafka, Kubernetes, Apache Iceberg, Flink, Spark) and data lake architectures.