Backend Engineer (Early Media)

Early Media

• $95K — $115K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-4 years experience building backend systems in production
  • Proficiency in at least one backend language (Java EE or Kotlin)
  • Understanding of microservices, REST APIs, and message queues (Kafka, Flink, etc.)
  • Experience with cloud platforms (AWS, GCP, or Azure) and Docker
  • Ability to work autonomously and solve loosely defined problems

Responsibilities

  • Develop features and services within Twist and Analytics Engine
  • Write clean, well-tested code for team efficiency
  • Manage shared infrastructure components like authentication and logging
  • Address bugs and incidents within assigned systems

Benefits

  • Opportunity to work on impactful projects in media or gig-economy sectors
  • Dynamic team environment with a focus on autonomy
  • Engagement with modern technologies and tools
  • Potential for influence in decision-making and project direction
Full Job Description
What you'll own
  • Features and services within Twist and Analytics Engine (ie. Auth, User Profile, Loyalty and IAP, and more.)
  • Clean, well-tested code that a small team can move fast on top of.
  • Your piece of shared infrastructure starting from auth, logging, monitoring and built to the same standard as everything else.
  • Bugs and incidents in the systems you touch, start to finish.


Must-haves
  • Executes fast and doesn't need hand-holding to get there.
  • 2-4 years building backend systems in production.
  • Working proficiency in at least one backend language Java EE, Kotlin
  • Solid grasp of microservices, REST APIs, and message queues (Kafka, Flink, or similar).
  • Some hands-on experience with a cloud platform (AWS, GCP, or Azure) and Docker.
  • Can take a loosely scoped problem and figure out a reasonable path through it.


Nice to Have
  • Media, streaming, or gig-economy background.
  • Exposure to CDNs or video streaming protocols (HLS, DASH).
  • Experience with payment integrations or handling money movement.
  • Familiarity with real-time or streaming data processing.
  • Interest in using AI tooling to speed up your own workflow.

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