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Principal Software Engineer Distributed Systems (Bengaluru)

Oracle · Bangalore

🌐 Remote📅 07/08/2026
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Principal Software Developer Oracle Database (Virtual Operating System) About the Team Join Oracles Virtual Operating System (VOS) team, the engineers behind the portable, high-performance platform that underpins Oracle Database across a wide range of hardware and deployment environments. Within VOS, the Inter-Process Communication (IPC) group builds the distributed communication, coordination, and execution foundations that enable Oracle RAC, Exadata, and other flagship database capabilities to scale with exceptional performance, availability, and reliability. The team operates deep in the database stack, working across process lifecycle management, shared-memory and message-based communication, remote direct memory access (RDMA), and cluster-wide coordination. Our focus is on building infrastructure that is fast, effective, diagnosable, and robust under extreme scale, while remaining adaptable to evolving workloads and hardware platforms. Opportunities You Will Get In this role, you will design and deliver foundational systems at the intersection of operating systems, networking, and distributed data processing. Your work will focus on enabling efficient, scalable data movement and coordination inside the database as below: Design cluster-level synchronization and coordination mechanisms using low-latency communication, atomic operations, and shared state. Build and integrate high-throughput, low-latency data ingestion and streaming paths into the database runtime. Enable efficient interoperability between the database and external data systems or execution engines through well-defined protocols and access paths. Optimize bulk and streaming data transfer using modern data representations and RPC mechanisms. Develop system-level telemetry and instrumentation to support observability, performance analysis, and operational diagnostics. Contribute to reliability engineering, resource efficiency, and end-to-end performance tuning across distributed, multi-process s .
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