At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
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.
Expectations
- BS/MS in Computer Science or equivalent.
- 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
- 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.
- Build a deep understanding of upstream/downstream systems and processes and how they should shape data model design and impact adjacent systems.
About you
- 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.
- You can work independently, delivering innovative solutions with minimal guidance.
- You have a successful track record of delivering results in complex cross-functional projects.
- You strongly believe in test-driven development.
- You have a strong bias towards action.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.