Job description

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. 10+ years of experience in software development, including designing, building, and operating large-scale distributed systems and backend infrastructure Solid understanding of networking protocols (e.g., TCP/IP, DNS, HTTP) and their application in large-scale systems 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 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

Requirements

Must-haves

10+ years of experience in software development, including designing, building, and operating large-scale distributed systems and backend infrastructure
Solid understanding of networking protocols (e.g., TCP/IP, DNS, HTTP) and their application in large-scale systems
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cd

Platform: apple
Effort: medium