Principal Performance Engineer (Database & AI Benchmarking)

Accountabilities

• Define and lead the performance engineering strategy across database and AI workloads, including benchmarking frameworks, regression detection, and performance reporting standards.

• Design and maintain repeatable, end-to-end benchmarks for OLTP, OLAP, and mixed database workloads as well as AI inference and pipeline systems.

• Develop and optimize benchmarking harnesses, automation scripts, and dashboards to ensure consistent and reproducible performance evaluation.

• Analyze system performance across throughput, latency, concurrency, scalability, and stability, identifying bottlenecks and recommending optimizations.

• Collaborate with engineering, product, and field teams to define performance targets, acceptance criteria, and architectural improvements.

• Establish performance best practices, including test rigor, workload modeling, hardware normalization, and governance standards.

• Provide executive-ready insights and reports translating complex performance data into clear technical and business recommendations.

Requirements

• 8+ years of experience in performance engineering, systems engineering, SRE, or benchmarking roles, ideally spanning database and/or AI systems.

• Strong expertise in performance concepts such as latency distributions, tail behavior, concurrency, saturation, and capacity planning.

• Deep understanding of database systems (preferably PostgreSQL or similar) and experience benchmarking distributed or large-scale systems.

• Hands-on experience with benchmarking frameworks such as pgbench, HammerDB, TPC-style workloads, or custom performance harnesses.

• Strong programming and automation skills in Python and/or Go, with solid Bash scripting and data analysis capability.

• Experience with Linux performance profiling tools such as perf, flamegraphs, strace, iostat, or vmstat.

• Ability to clearly communicate complex technical findings and influence engineering decisions across teams.

• Strong plus: experience with vector databases, PostgreSQL tuning, AI inference pipelines, GPU profiling, RAG workflows, or storage/network performance optimization.

Benefits

• Fully remote role within the UK/EU region

• Flexible working environment supporting work-life balance

• Competitive compensation aligned with senior technical expertise

• Strong focus on professional development and continuous learning

• Access to wellness initiatives and employee support programs

• Opportunity to shape performance strategy for cutting-edge database and AI systems

• Inclusive and collaborative engineering culture

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!
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