
Senior Backend Engineer
Required skills
- distributed systems
- Java EE
- Kotlin
- microservices
- event-driven architecture
- message queues
- Kafka
- Flink
- REST
- gRPC
Nice to have
- media
- streaming
- gig-economy
- CDN
- HLS
- DASH
Role summary
Early Media is seeking a Senior Backend Engineer to architect and own the backend systems for their new streaming platform, analytics engine, and prediction engine. This role involves building core backend architecture, managing data pipelines from ingestion to analysis, and implementing robust logging, monitoring, and alerting. The ideal candidate is highly driven, possesses 6+ years of experience with distributed backend systems, and is expert in Java EE or Kotlin. Experience with microservices, event-driven architecture, message queues (Kafka, Flink), REST/gRPC, and cloud infrastructure (AWS/GCP/Azure) with Docker/Kubernetes is essential. The role also requires strong architectural decision-making skills and the ability to mentor other engineers.
Senior Backend Engineer
About Early Media
Early Media is creating and distributing groundbreaking original series. We craft narratives with viral potential while preserving the heart of indie production, telling meaningful stories audiences actually care about. Every creative decision is sharpened by a proprietary testing and marketing engine that collapses the distance between filmmaker and audience into the tightest iteration loop in the industry.
The platforam ecosystem behind Twist is being built from scratch - Twist, our streaming app; the Analytics Engine; and a Prediction Engine developed in partnership with our Data Science Lead. We're looking for a senior backend engineer to own the architecture underneath all three.
What you'll own
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.
Must-haves
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.
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