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# Senior Backend Engineer

- **Company:** Early Media, LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Microsoft Azure, Computer Programming, Java Platform Enterprise Edition (J2EE), Fraud Prevention and Detection, Protocol Buffers, Java Virtual Machine (JVM), Payment Gateway, Performance Tuning, Queueing Systems, Sentiment Analysis, Data Streaming, Data Logging, Data Processing, Backend, Kotlin, Event Driven Architecture, Apache Flink, Apache Kafka, Video Streaming, Docker, Microservices
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-backend-engineer-austin-tx--fa5ec8a3-0740-4f9e-b037-bd5546c60b77

## About the Role

Marketing, Data Science, Ecosystems, Mentoring, Computer Programming, Data Processing, Know Your Customer (KYC), * Ridiculously driven: you'd build this even if no one was watching.

 * 6+ years shipping and owning distributed, production-grade backend systems.
 * Expert in Java EE or Kotlin.
 * Experience building microservices in Java/Kotlin, with event-driven architecture and message queues (Kafka, Flink, or equivalent), exposed via REST and gRPC contracts.
 * Comfortable owning infrastructure on AWS/GCP/Azure with Docker and Kubernetes.
 * You've made architecture decisions that other teams had to live with, and you can own them.
 * You can explain a hard technical tradeoff to someone who doesn't write code.

Nice to Have

 * Media, streaming, or gig-economy background.
 * CDN and video streaming protocol experience (HLS, DASH).
 * Payment gateway integration work.
 * Real-time/streaming data processing.
 * Familiarity with compliance basics , such as KYC, anti-fraud, data privacy.
 * Protobuf/gRPC contract design across polyglot services.
 * Experience with JVM performance tuning and GC diagnostics.

## Description

* The core backend architecture that spans Twist, Analytics Engine, Prediction Engine, and our Ecommerce platform.
 * The pipes behind the Analytics Engine and Prediction Engine - starting from ingestion, sentiment analysis, dashboards, to campaign attribution.
 * Logging, monitoring, and alerting that catches problems before they become incidents.
 * The technical judgment of the engineers around you, through review and direct mentorship.