Senior Software Engineer (YDB Team)
Pubblicato il 15-08-2026 - Jobgether in Italia
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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