Lead Software Engineer, Software Defined Storage
We are developing a next generation software defined storage platform for AI and cloud infrastructure. The platform combines advanced flash technologies with high performance systems software to improve storage performance, efficiency, reliability, and scalability. We are seeking a hands on systems software engineer to develop the object storage engine at the foundation of the platform. This role focuses on how objects and their metadata are organized, indexed, persisted, located, retrieved, protected, and recovered with consistently low latency. The engineer will work on demanding storage problems across metadata management, persistent data structures, transactional updates, object lifecycle, data integrity, recovery, and flash aware optimization. This is an opportunity to shape a new storage product from early development through production readiness while working with experienced storage, firmware, hardware, and validation teams. What We Are Looking For Strong C or C++ development experience in Linux systems software. Experience working in large asynchronous, event driven, multithreaded, or multicore codebases. Strong background in one or more of the following areas: object storage, storage engines, file systems, databases, key value stores, block storage, or embedded storage software. Practical experience with metadata management, indexing, persistent data structures, caching, or low latency key and object lookup. Understanding of transactional storage, journaling, write ordering, atomicity, idempotency, crash consistency, and recovery. Knowledge of storage performance fundamentals, including IOPS, bandwidth, queueing, cache behavior, write amplification, average latency, and tail latency. Experience debugging complex correctness and performance problems using traces, profiling, logs, metrics, and targeted fault injection. Understanding of NVMe SSD behavior and the interaction among software allocation, garbage collection, endurance, latency, and media errors. Ability to translate system requirements into clear software designs, implementation plans, measurable targets, and validation strategies. Strong technical communication and collaboration across software, architecture, firmware, hardware, and validation teams.
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