Software engineer in distributed storage

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise.

• Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification, Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth, NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs
• Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints
• Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability
• Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads
• Prevent, detect and recover from silent data corruption across memory, networking and storage
• Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently

• 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems
• Experience developing high-performance, low-latency software components
• Understanding of core dumps, flame graphs and sanitizer-enabled builds
• Understanding of CPU caches, atomic operations and NUMA architectures
• Будет плюсом: Experience designing and developing production-grade distributed storage systems and/or databases; Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming; Understanding of NVMe, conventional HDD and SMR HDD internals; Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb; Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring; Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA; Experience with Kubernetes and Grafana; Experience responding to production incidents; Knowledge of availability and durability calculations

• For Senior candidates, we offer hybrid working or the flexibility to work remotely within EU.
• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams