Backend Engineer (Early Media) at Early Media | Austin, TX, US | Rezi

Backend Engineer (Early Media) at Early Media

Backend Engineer (Early Media)

Early Media · Austin, TX, US

Today

Backend Engineer (Early Media)

Early Media · Austin, TX, US

8 hours ago
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About the Role

Early Media is building a streaming app, an Analytics Engine, and a Prediction Engine from scratch. We are seeking a backend engineer to help build and support the architecture for these three components.

Responsibilities

  • Develop features and services within Twist and the Analytics Engine, including Auth, User Profile, and Loyalty and IAP.
  • Write clean, well-tested code that enables a small team to move quickly.
  • Contribute to shared infrastructure, starting with auth, logging, and monitoring, adhering to high standards.
  • Manage bugs and incidents within owned systems from start to finish.

Requirements

  • Ability to execute quickly and work independently.
  • 2-4 years of experience building backend systems in production.
  • Working proficiency in at least one backend language such as Java EE or Kotlin.
  • Solid understanding of microservices, REST APIs, and message queues (Kafka, Flink, or similar).
  • Hands-on experience with a cloud platform (AWS, GCP, or Azure) and Docker.
  • Ability to take a loosely scoped problem and define a clear path to resolution.

Skills

  • Java EE
  • Kotlin
  • Microservices
  • REST APIs
  • Message Queues
  • Kafka
  • Flink
  • AWS
  • GCP
  • Azure
  • Docker
  • CDNs
  • HLS
  • DASH
  • AI tooling

Experience Level

  • 2-4 years

About the Company

  • Early Media creates and distributes groundbreaking original series, crafting narratives with viral potential while preserving the heart of indie production.
  • We tell meaningful stories that audiences care about, using a proprietary testing and marketing engine to shorten the iteration loop between filmmaker and audience.
  • The platform ecosystem includes Twist (our streaming app), an Analytics Engine, and a Prediction Engine developed in partnership with our Data Science Lead.