Database Performance & Hardware Architecture

• Define and drive technical direction for database performance optimization and hardware-aware database architecture.
• Lead the design and implementation of advanced database optimizations focused on scalability, efficiency, and workload performance.
• Solve complex performance challenges across the full system stack, including database engines, query execution, transaction processing, concurrency control, storage engines, operating systems, and hardware platforms.
• Design and develop optimizations leveraging modern hardware architectures, including multi-core CPUs, large-memory systems, NUMA platforms, CXL memory, RDMA networking, and advanced storage technologies.
• Improve database execution engines, caching mechanisms, memory management, storage systems, and workload scheduling.
• Analyze system behavior and identify bottlenecks using profiling, tracing, hardware performance counters, and low-level performance analysis.
• Develop benchmarks, workload models, and methodologies to evaluate scalability, efficiency, and architectural tradeoffs.
• Collaborate with database kernel, infrastructure, and engineering teams to influence architecture decisions and deliver high-impact improvements.
• Mentor senior engineers and contribute to building technical expertise across the organization.
• Drive innovation through research, prototyping, technical analysis, and architectural improvements.
• 10+ years of experience in database systems, systems software, performance engineering, or related fields.
• Proven experience designing, developing, or optimizing high-performance database systems, storage engines, query execution engines, or large-scale data platforms.
• Deep understanding of database internals, including:
• Query optimization and execution engines
• Transaction processing and concurrency control
• Storage engine architecture
• Indexing and caching mechanisms
• Database scalability and workload optimization
• Strong understanding of computer architecture and hardware performance optimization.
• Hands-on experience with memory systems, including:
• NUMA architectures
• CPU cache hierarchy
• Memory bandwidth and latency analysis
• Large-scale memory management techniques
• Strong programming skills in C/C++ and experience developing high-performance software on Linux systems.
• Experience using performance analysis and debugging tools, including:
• Linux perf
• Hardware performance counters
• Profiling and tracing frameworks
• Benchmarking tools
• Experience optimizing OLTP, OLAP, or mixed transactional/analytical database workloads.
• Strong analytical and problem-solving skills with the ability to diagnose and resolve complex performance issues across software and hardware layers.

Preferred Qualifications

• Experience contributing to