Design Platform Software Engineer — High-Impact Frontend/API

Netflix

Indianapolis (IN)

On-site

USD 27,552 - 41,328

Full time

14 days+

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Benefits offered by this job

High impact work
Dream team culture
Growth opportunities
Continuous learning environment

Job summary

Netflix in Indianapolis, USA is seeking a Software Engineer to help design the front-end system for the design community. You will lead day-to-day usage tooling and streamline asset ownership, enabling engineers to find and use tools and services efficiently.

Join Netflix's Design Experience team to reduce toil, improve reliability, and scale the bare-metal pipeline across engineering environments. You will work on integrating APIs, GraphQL changes, and large data sets within a distributed,

Qualifications

  • Bachelor degree required.
  • Strong Java experience with GraphQL APIs.
  • Experience with distributed systems and micro-services.
  • Experience designing scalable APIs for design tools.

Responsibilities

  • Lead the design of the front-end system that serves the entire design community for day-to-day usage.
  • Reduce engineering toil, time, and manual effort required for improvements across Netflix design.
  • Streamline and normalize the asset ownership experience ensuring all design assets have clear owners.
  • Make it easier for engineers across the organization to discover tools, applications, and Architecture Diagram services.

Skills

Java
GraphQL
Distributed systems
APIs design
Front-end design

Education

Bachelor Degree

Tools

Spring Boot
GraphQL tooling

Job description

Netflix in Indianapolis, USA is seeking a Software Engineer to help design the front-end system for the design community. You will lead day-to-day usage tooling and streamline asset ownership, enabling engineers to find and use tools and services efficiently.

Join Netflix's Design Experience team to reduce toil, improve reliability, and scale the bare-metal pipeline across engineering environments. You will work on integrating APIs, GraphQL changes, and large data sets within a distributed,

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