Lead Engineer, Performance Engineering
Listed on 2026-01-02
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IT/Tech
Systems Engineer, Cloud Computing
Job :278397
Store Name/Number:FSC REMOTE SF/NY/DC
-173()
Address:FSC, Remote, CA 94105, United States (US)
Hourly/Salaried:Salaried (Exempt)
Job Type:Full Time
Position Type:Regular
Job Function:Information Technology
Company OverviewAt Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us. We are united by a common goal - to reimagine the future of beauty
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At Sephora, our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest in mobile technologies, scalable architecture, and the coolest in-store client experience. We love what we do, and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are integral to the growth of Sephora and our future success.
Our Performance Engineering team ensures fast, reliable, and scalable digital experiences across mobile apps and web platforms. Operating at the intersection of software engineering, infrastructure, and observability, we focus on detecting and eliminating performance bottlenecks, optimizing efficiency, and enhancing end‑user experience. From load and resiliency testing to capacity planning and real‑user monitoring, we leverage automation, analytics, and modern cloud technologies to build resilient, future‑ready systems.
If you’re passionate about performance, scalability, and innovation, you'll find a great fit within our team.
At Sephora
, as the Lead Performance Engineer, you will own the end‑to‑end performance strategy for Sephora’s digital platforms ensuring speed, scalability, and reliability across e‑commerce, APIs, and cloud‑native systems. You’ll define benchmarks and KPIs, build automation frameworks, execute large‑scale load and resiliency tests, and drive continuous optimization. This role requires close collaboration with Development, SRE, Dev Ops, Cloud, and Architecture teams to embed performance and resilience into every layer of our technology stack.
If you’re passionate about solving complex scalability challenges and building systems that perform flawlessly under any condition, this is the role for you.
- Lead the performance engineering practice for Sephora’s digital systems (e.g., e‑commerce platform, microservices, APIs), ensuring high‑performance, high‑availability, and scalable architecture.
- Design and execute performance testing strategies: load testing, stress testing, spike testing, soak testing, capacity planning, bottleneck analysis.
- Integrate Chaos Engineering practices to validate system resilience under failure conditions; leverage
Gremlin, Chaos Mesh, or similar tools to simulate real‑world failure scenarios and ensure systems can self‑recover and degrade gracefully. - Build and maintain monitoring, logging and alerting frameworks for performance‑related metrics (both real‑time and post‑mortem analysis) using tools/platforms such as Splunk, App Dynamics, Dynatrace.
- Collaborate on continuous‑delivery pipelines (CI/CD) to embed performance checks, automated regression testing, and performance gating.
- Drive root‑cause analysis after performance incidents or degradations, propose remediations and ensure preventive engineering.
- 8+ years significant hands‑on responsibility for performance, scalability, and architecture of large, high‑traffic systems (e‑commerce or equivalent)
- 8+ years expertise in ensuring and overseeing stability, reliability, and performance of mission‑critical software applications in production environments.
- 8+ years experience with monitoring, observability, and performance management tools such as Splunk, Dynatrace, Datadog, App Dynamics, or equivalent enterprise platforms.
- 8+ years proven track record in performance engineering, log analysis, anomaly detection, and troubleshooting of distributed systems.
- 2+ years…
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