Software Engineer 4 - Revenue Infrastructure

Netflix • Los Angeles, CA

2d

About The Position

The Revenue Infrastructure team's mission is to streamline revenue financial workflows so that our financial teams can close the books with a high degree of accuracy and confidence. The systems we build need to be scalable and accurate as we handle revenue operations for all Netflix customers. Some of the projects we are focused on are building infrastructure for revenue ads integration, settlement, and cash reconciliation of all Netflix subscription payments, generating invoices for our bundle partners, and revenue partner workflows. As an engineer on the team, you will work with Product Managers, cross-functional engineering teams, and Revenue Finance to design and evolve architectures that can handle massive data and build highly configurable pipelines to support global workflows for complex financial functions.

Requirements

• BS/MS in Computer Science or equivalent.
• Strong data structures and algorithms knowledge with server-side expertise.
• Strong background in distributed data processing, software engineering design, and data modeling concepts.
• Proficient in Java, Scala, or any other JVM language.
• Proficient with gRPC, GraphQL, or RESTful API design and implementation.
• Experience with Pub-Sub (Kafka), Stream Processing (Spark/Flink, etc.).
• Expertise in solving large data challenges.
• Expertise in building distributed applications that are secure, scalable, and highly available.
• 3+ years of hands-on, software engineering experience in building business-critical, reliable, and distributed systems.
• Professional experience and interest in building financial and monetization solutions.
• Understand the modern ad technology ecosystem with a focus on fintech.
• Ability to work independently, delivering innovative solutions with minimal guidance.
• Successful track record of delivering results in complex cross-functional projects.
• Strong belief in test-driven development.
• Strong bias towards action.

Responsibilities

• Design and evolve architectures that can handle massive data.
• Build highly configurable pipelines to support global workflows for complex financial functions.
• Build a deep understanding of upstream/downstream systems and processes and how they should shape data model design and impact adjacent systems.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Flexible time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior