Principal Performance Engineer (Database & AI Benchmarking)

A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com **Candidate Note: This position is 100% remote for candidates based in EU/UK** We are hiring a Principal Performance Engineer to make performance a core company competency across our database and AI workloads. You will set the performance engineering strategy—defining benchmarks, realistic workloads, regression detection and gating, and clear executive-ready reporting—and partner with Engineering, Solutions Verification, and Product to ensure we deliver predictable performance at scale. You will influence product direction by identifying systemic bottlenecks, shaping architectural and roadmap decisions, and leading cross-team initiatives What you will be doing: Benchmark design & execution: Build and maintain repeatable end-to-end benchmarks for database and AI workloads Database performance engineering: Evaluate throughput, latency, concurrency, scalability, and stability across OLTP/OLAP and mixed workloads. AI performance benchmarking: Measure and optimize performance for GPU/CPU inference pipelines, model serving, and data/feature pipelines; assess cost/performance tradeoffs. Tooling & automation: Develop harnesses, scripts, dashboards, and reproducible environments to run benchmarks consistently. Analysis & reporting: Produce clear reports, identify bottlenecks, and recommend fixes. Cross-functional collaboration: Partner with database engineers, AI engineers, the field teams and product management to define performance goals and acceptance criteria. Performance best practices: Establish standards for test hygiene, statistical rigor, hardware normalization, and benchmark governance. What you will bring: 8+ years in performance engineering, benchmarking, SRE, or systems engineering (database and/or AI systems). Strong understanding of performance concepts and stochastic modeling: latency percentiles, tail behavior, throughput, concurrency, queueing, saturation, and capacity planning. Strong understanding of database internals (Postgres or equivalent databases). Hands-on experience benchmarking databases and/or distributed systems (e.g., Postgres or similar). Experience with benchmarking tools and harnesses (examples: pgbench, HammerDB, TPC-like workloads, custom harnesses). Proficient in Python and/or Go for automation and data analysis, strong scripting skills (Bash), skills in eBPF. Experience with Linux performance profiling (e.g., perf, flamegraphs, strace, iostat, vmstat). Ability to communicate findings clearly and drive performance improvements with engineering teams. What will give you an edge: Experience with active benchmarking techniques. Experience with vector databases / vector search benchmarking (recall/latency tradeoffs, indexing, tuning). PostgreSQL performance tuning (autovacuum, WAL, replication, connection scaling). RAG pipelines: ingestion + embeddings + vector retrieval + reranking + generation. Familiarity with AI stack components: model serving, GPU profiling Background in storage and networking performance (IO patterns, filesystem tuning, kernel tuning). EDB is committed to supporting our employees' overall we