Staff/Sr. Software Engineer, Performance Testing Platform
Summary
Apple's Search Developer Experience team is hiring a staff/senior engineer to build and scale a performance testing platform that captures and replays production-scale traffic so developers can load-test and statistically validate feature performance before shipping to billions of Siri users. Day-to-day work centers on large-scale distributed systems, networking protocols, load testing, and observ
The Performance Team within Developer Experience builds the infrastructure that lets developers test, measure, and trust the performance of Apple's search capabilities before they ship. We're looking for an experienced software engineer to help build and scale a performance testing platform used across the org — one that gives developers confidence that results measured in a dev environment reflect what will happen in production. You'll work closely with product and information intelligence teams to deliver infrastructure that's reliable, scalable, and efficient, powering Apple products for billions of users.
We build the infrastructure that lets developer teams across Search test, measure, and validate the performance of features before they reach billions of Siri users. Our platform captures and replays production-scale traffic so developers can load-test changes in a dev environment and trust that the results are indicative of production behavior. We apply statistical analysis to model how latency, throughput, and resource usage shift from dev to production, helping teams catch performance regressions before they ship. You'll have the opportunity to work with systems processing massive volumes of traffic and results data, with a scale and complexity few teams encounter.
Minimum Qualifications
- 5+ years of experience in software development, including designing, building, and operating large-scale distributed systems and backend infrastructure
- Strong interest in building performance tooling
- Strong software engineering fundamentals in data structures, algorithms, and system design
- Excellent communication and collaboration skills to work effectively with cross-functional teams
- BS, MS, or Ph.D. in Computer Science or a related field, or equivalent experience
Preferred Qualifications
- Statistical/analytical experience projecting how dev-environment results map to production behavior (regression analysis, capacity modeling)
- Hands-on experience designing load test frameworks: traffic capture/replay, configurable load shapes, concurrency control
- Experience with observability tooling for root-causing performance regressions
- Familiarity with Kubernetes, workflow orchestration and CI/CD pipelines for automating test infrastructure
