Performance Engineer (Analyst)

Qualifications

EXPERIENCE, SKILLS & KNOWLEDGE

Required Qualifications

• 3–5+ years of experience in Performance Engineering, Performance Analysis, Site Reliability Engineering, Application Monitoring, or a related technical discipline.
• Experience working with observability and monitoring platforms such as Datadog, Dynatrace, Catchpoint, Akamai mPulse, New Relic, or similar tools.
• Strong understanding of Core Web Vitals including LCP, INP, and CLS, as well as browser performance metrics such as TTFB, FCP, and Speed Index.
• Working knowledge of modern web technologies including React, Next.js, server-side rendering, and API-driven architectures.
• Experience analyzing performance across browsers, devices, networks, APIs, and backend services.
• Understanding of CDN concepts, caching strategies, cache-control headers, and edge delivery optimization.
• Experience creating dashboards, alerts, reports, and performance monitoring solutions.
• Basic scripting and automation experience using JavaScript, Python, or similar languages.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent verbal and written communication skills with the ability to present technical findings to both technical and non-technical audiences.

Preferred Qualifications

• Experience with Akamai CDN, EdgeWorkers, or other edge delivery platforms.
• Experience supporting Next.js applications and composable commerce architectures.
• Experience with Datadog APM, RUM, Logs, and Synthetic Monitoring.
• Experience with Catchpoint synthetic testing and performance automation.
• Familiarity with HarperDB or modern distributed data platforms.
• Experience integrating performance testing into CI/CD pipelines.
• Familiarity with BrowserStack, Selenium, Storybook, Lighthouse, or related testing frameworks.
• Experience supporting high-traffic e-commerce websites and digital customer experiences.
• Understanding of release validation, feature flagging, and performance governance practices.
• Understanding of emerging AI, LLM, and generative AI technologies and their impact on web performance, observability, scalability, and digital customer experiences.
• Familiarity with monitoring and analyzing AI-driven traffic, bot behavior, API consumption patterns, and AI-enabled applications.
• Experience leveraging AI-assisted capabilities within observability platforms to improve operational efficiency and accelerate issue detection and resolution.
• Knowledge of performance considerations related to AI-powered services, inference workloads, API integrations, and large-scale automated traffic patterns is a plus.

Ralph Lauren will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance laws.

Please note background checks will be evaluated individually.