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 United Kingdom.
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 InfiniBand, 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
