Senior Performance Engineer

Overview

Job Purpose

Intercontinental Exchange (ICE) is hiring a Senior Performance Engineer to help own performance for our derivatives trading platform — order entry, matching engine, and market data distribution. These are latency-sensitive, business-critical systems where a regression measured in microseconds is a business event.

You will join a small, established performance engineering team. We are hiring a senior engineer to take direct ownership of a substantial share of the platform's performance work. This is not a support seat — you will run campaigns and own conclusions from day one, with an experienced team around you.

The role spans the full performance lifecycle: designing and running test campaigns, profiling pre-production code to surface bottlenecks before release, and diagnosing degradation in production. It is hands-on and deeply technical, suited to an engineer who is equally comfortable profiling a JVM under load, reading a flame graph, and explaining a latency regression to a development team in terms they can act on.

You will use AI tooling to accelerate test design, result analysis, and incident diagnosis — while remaining personally accountable for measurement quality and for every technical conclusion you present.

Responsibilities

• Own end-to-end performance validation for assigned areas of the derivatives trading platform: order entry, matching engine, and market data distribution paths.
• Design and execute load, stress, and capacity test suites against pre-production and production-like environments.
• Profile pre-production services to identify bottlenecks across CPU, memory, I/O, threading, garbage collection, network, and database layers, and partner with development teams to resolve findings before release.
• Establish and maintain production performance baselines; proactively identify degradation and emerging risk.
• Investigate latency and capacity events in production, producing formal root cause analyses and corrective action plans.
• Contribute to capacity planning and infrastructure sizing recommendations grounded in measured behavior and growth projections.
• Plan and execute non-functional testing — resiliency, failover, scalability, and capacity validation. Expect this to be roughly 20% of your time.
• Document methodology, results, and findings to a standard suitable for internal engineering audiences and, where applicable, audit and regulatory review.
• Contribute to the team's shared tooling, harnesses, and measurement practice.

AI-Assisted Performance Engineering

• AI tooling is part of the standard workflow here, not an experiment. You will use it to draft workload models and test scaffolding from production metrics, SLAs, and prior incidents; to accelerate analysis of profiler output, GC logs, traces, and packet captures; and to shorten first-pass RCA and produce engineering- and audit-ready write-ups.
• The bar is that you validate what comes back. You own the statistical soundness of the workload model, the identification of the bottleneck, the stated root cause, and the corrective actions — regardless of what produced the first draft.

Knowledge and Experience

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• 5+ years in performance engineering and testing.
• Demonstrated experience designing workload models and executing performance test campaigns against distributed, multi‑tier systems, using tools such as JMeter, Gatling, k6, or Load Runner.
• Demonstrated experience diagnosing performance problems in latency‑sensitive systems using profilers and system tooling — for example perf, eBPF/bpftrace, async‑profiler, JFR, flame graphs, or Intel VTune.
• A rigorous statistical approach to measurement: you…