Principal Performance Engineer (Database & AI Benchmarking)
Tasks
- Analyze benchmark results
- Assess scalability and stability
- Benchmark AI inference pipelines
- Build repeatable benchmark harnesses
- Collaborate with engineering teams on performance goals
- Define performance acceptance criteria
- Design and execute benchmarks
- Develop automation scripts and dashboards
- Establish benchmark governance standards
- Evaluate database throughput and latency
- Identify bottlenecks and recommend fixes
- Measure cost performance tradeoffs
- Optimize model serving performance
Perks/Benefits
Skills/Tech-stack
Automation | Autovacuum | Bash | Benchmarking | Capacity Planning | Concurrency | Connection Scaling | Database Internals | Distributed Systems | EBPF | Embeddings | Flamegraphs | GPU Profiling | Go | Index Tuning | Iostat | Latency Percentiles | Linux | Linux performance | Linux performance profiling | Model Serving | OLAP | OLTP | Perf | Performance Profiling | Performance Tuning | PgBench | PostgreSQL | Python | Queueing | RAG | Replication | Reranking | Scripting | Strace | TPC Workloads | Tail Latency | Throughput | Vector Databases | Vector Search | Vector indexing | Vmstat | WAL
Education
N/A
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