Senior Software Engineer (YDB Team)

15 ago - Italia
Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps.

Our partner is looking for a Senior Software Engineer (YDB Team) based in Italy.

This is an opportunity to work on highly scalable infrastructure powering demanding AI and cloud workloads.

You will contribute to an open-source distributed database and storage platform at the heart of critical cloud services.

The role focuses on solving complex systems challenges through high-performance C++ engineering and advanced optimization.

You’ll work with modern hardware, including high-speed networking, NVMe storage, and data processing accelerators.

Your work will directly influence performance, reliability, scalability, and efficiency across production-grade infrastructure.

You’ll collaborate with experienced engineers in an international, fast-moving environment where technical ownership is encouraged.

This is a hands-on role for someone excited by low-level systems, distributed computing, and building infrastructure for the future of AI.

Accountabilities

- Develop and optimize YDB components to take full advantage of modern hardware, including QLC NVMe drives, high-bandwidth network adapters, and DPUs.

- Improve performance across widely used storage technologies, including HDDs and TLC NVMe devices.

- Reengineer system components using more efficient algorithms to address complex scalability, performance, and reliability challenges.

- Design and implement high-performance, low-latency software components for heavily loaded production systems.

- Analyze system behavior and identify performance bottlenecks using profiling, debugging, and diagnostic techniques.

- Work on distributed storage and database infrastructure supporting demanding AI and cloud workloads.

- Contribute to the reliability, availability,



and durability of production-grade distributed systems.

- Participate actively in incident investigation and resolution, helping identify root causes and implement lasting improvements.

- Collaborate with engineers across infrastructure, storage, networking, and AI-focused teams to deliver robust technical solutions.

- Contribute to an open-source codebase and participate in technical discussions, design decisions, and continuous improvement.

- Take ownership of engineering challenges from investigation and design through implementation, optimization, testing, and production deployment.

Requirements

- 5+ years of professional experience developing in C or C++ for highly loaded, performance-critical systems.

- Strong understanding of low-level systems concepts, including CPU caches, modern CPU atomic operations, and NUMA architectures.

- Proven experience developing high-performance and low-latency software components.

- Ability to investigate complex production issues using core dumps, flame graphs, sanitized builds, and related debugging techniques.

- Strong systems programming and performance optimization skills, with an analytical approach to diagnosing bottlenecks.

- Experience with on-disk data structures such as LSM trees or B+ trees is a strong advantage.

- Hands-on experience with tools such as perf, VTune, bpftrace, or gdb is desirable.

- Knowledge of storage algorithms, including erasure coding and checksumming,



is a plus.

- Understanding of storage device internals, particularly NVMe and HDD technologies.

- Familiarity with Linux kernel development and technologies such as SPDK, DPDK, libaio, or io_uring is advantageous.

- Knowledge of networking concepts and protocols including IP, TCP, UDP, and DNS; experience with Infini

Band, RoCE, or RDMA is a plus.

- Experience with Kubernetes and Grafana is desirable.

- Experience designing production-grade distributed storage components and understanding availability and durability calculations is highly valued.

- Demonstrated ability to troubleshoot complex systems, participate in incident resolution, and work effectively in collaborative engineering environments.

- Strong ownership, problem-solving skills, and enthusiasm for tackling technically challenging infrastructure problems.

- Willingness to participate in coding interviews as part of the recruitment process.

- Candidates must be authorized to work in the country where they apply.

Benefits

- Competitive compensation.

- Career growth and continuous learning opportunities.

- Flexibility and significant ownership over your work.

- Opportunity to work on impactful infrastructure supporting advanced AI workloads.

- Collaborative, innovative, and technically driven working culture.

- International environment with highly experienced engineering and research teams.

- Opportunity to work with cutting-edge compute, storage, networking, and distributed systems technologies.

- Meaningful opportunity to influence the performance and future direction of large-scale AI infrastructure.

- Inclusive workplace committed to equal employment opportunities.

- Support and reasonable accommodations available during the application process.

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