EDB

Technology

PrincipalPerformanceEngineer(Database&AIBenchmarking)

$3000–4500k ~AI est. Taiwan
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Performance Engineer (Database & AI Benchmarking) at EDB. Skills: Performance engineering, Benchmarking, Database performance, AI benchmarking. Set performance engineering strategy. Define benchmarks”

What You'll Achieve.

Deliver predictable performance at scale

Industry & Context.

Technology
Problems you'll solve

Identify systemic bottlenecks; Recommend fixes; Root cause analysis

What They're Looking For.

Must Have

8+ years performance engineering, 8+ years benchmarking, 8+ years SRE, 8+ years systems engineering, Understanding performance concepts, Understanding stochastic modeling, Understanding database internals, Hands-on benchmarking databases, Hands-on benchmarking distributed systems, Proficient in Python, Proficient in Go, Proficient in Bash scripting, Proficient in eBPF, Experience with Linux performance profiling

Nice to Have

Experience with active benchmarking, Experience with vector databases, Experience with vector search benchmarking, PostgreSQL performance tuning, Familiarity with RAG pipelines, Familiarity with AI stack components, Background in storage performance, Background in networking performance

What You'll Do.

Set performance engineering strategy

Define realistic workloads

Define regression detection

Define executive-ready reporting

Partner with Engineering

Partner with Solutions Verification

Ensure predictable performance

Identify systemic bottlenecks

Shape architectural decisions

Shape roadmap decisions

Lead cross-team initiatives

Assess cost/performance tradeoffs

Develop reproducible environments

Run benchmarks consistently

Produce clear reports

Define performance goals

Define acceptance criteria

Establish standards for test hygiene

Establish standards for statistical rigor

Establish standards for hardware normalization

Establish standards for benchmark governance

How You'll Work.

Team & Collaboration

Partner with Engineering; Partner with Solutions Verification; Partner with Product; Partner with database engineers; Partner with AI engineers; Partner with field teams; Partner with product management

Communication Scope

Executive-ready reporting; Communicate findings clearly

Process & Methodology

Roadmap decisions

Full Job Description

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 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 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, st

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