Senior Platform Engineer, Digital Experience (Remote)

IPSY

California

Remote

USD 150,000 - 210,000

Full time

12 days ago

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Benefits offered by this job

Medical, dental & vision insurance

Work from home flexibility

EEO: Equal opportunity employer

Job summary

IPSY is seeking a Senior Software Engineer for its Digital Experience team. You will design, build, and support modern platform solutions using Next.js, TypeScript, and React while partnering with Infra, SRE, InfoSec, MarTech, and Frontend teams.

Join a remote-first company delivering scale across IPSY's subscription programs, including Original, Extra, and Ultimate. You will contribute to AI enablement, observability, and analytics, and help drive performance and reliability at scale.

Qualifications

6+ years of experience developing platform or full-stack applications in JavaScript/TypeScript, with Next.js and React.
Experience designing and maintaining shared libraries, common services, or internal platform components used by multiple engineering teams.
Experience with AWS, CI/CD (Jenkins), and deployments on composable platforms such as Netlify or Vercel, in partnership with Infrastructure teams.
Experience with observability and monitoring tools (e.g., Datadog), product analytics or experimentation platforms (e.g., Statsig and Amplitude), and performance measurement at scale.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.

Responsibilities

Oversee and optimize Kong API Gateway services, including LUA scripting, and partner with Infrastructure on cloud deployments across AWS, Netlify, and Jenkins to ensure secure, reliable system performance.
Build and support the mobile application ecosystem (React Native), ensuring platform reliability across customer-facing surfaces.
Build and evolve the experimentation and analytics platform, enabling product teams to measure engagement, run experiments, and make data-informed decisions using tools such as Statsig and Amplitude.
Drive performance metrics improvements across platform services and customer-facing surfaces, identifying bottlenecks and delivering optimizations that improve reliability and user experience at scale.
Contribute to AI enablement across the platform, building shared tooling and patterns that help engineering teams integrate AI-powered capabilities safely and efficiently.