Netflix's Revenue Infrastructure team aims to streamline revenue financial workflows for accuracy and confidence in closing the books, handling revenue operations for all Netflix customers through scalable and accurate systems.
Requirements
- Strong data structures and algorithms knowledge with server-side expertise.
- Have a strong background in distributed data processing, software engineering design, and data modeling concepts.
- Proficient in Java, Scala, or any other JVM language.
- Experience with Pub-Sub (Kafka), Stream Processing (Spark/Flink, etc.)
- Expertise in solving large data challenges.
- Experience with Cloud Computing platforms (AWS/Azure/GCP).
- Expertise in building distributed applications that are secure can scale, and are highly available.
Responsibilities
- design and evolve architectures that can handle massive data
- build highly configurable pipelines to support global workflows for complex financial functions
- building infrastructure for revenue ads integration
- settlement, and cash reconciliation of all Netflix subscription payments
- generating invoices for our bundle partners
- revenue partner workflows
- building distributed applications that are secure can scale, and are highly available
Other
- BS/MS in Computer Science or equivalent.
- Professional experience and interest in revenue advertising solutions, preferably on the sell-side or platform side.
- Understand the modern ad technology ecosystem with a focus on fintech.
- Experience with privacy, compliance, and governance in the advertising space.
- 3+ years of hands-on, software engineering experience in building business-critical, reliable, and distributed systems.
