Distributed Systems Engineer, Membership Engineering (L4)

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Who We Are:
The Membership Engineering team orchestrates flows and manages the memberships of all Netflix customers. We are directly involved in various member flows like signup, plan change, upsells, offers, cancellations, renewals etc. We enable integrations for managing subscriptions via partner bundles and Apple iTunes/App Store. We also maintain rules to control plan availability, prices and play a central role in implementing price changes across the globe. The subscription data together with the plan and pricing catalog help other teams to power their commerce needs. You could learn more about how we manage subscriptions at Netflix. 
 

What You Will Work On:
In this role, you will get the opportunity to work at the intersection of growth product features and commerce platform infrastructure. You will be engaging in deep, meaningful cross-functional work where you will have the opportunity to interact with other engineers, designers, product managers, and data scientists to enable feature-rich product development. Your contribution will help in optimizing customer acquisition and retention, maximizing revenue and creating commerce opportunities that support Netflix's goal to Entertain the World. Some of our recent work involves cracking down on password sharing, enabling Ads plan on Netflix and bringing new features to existing Netflix plans. 
 

Beyond the product work, you will also have the opportunity to improve our infrastructure and platform in order to help us to meet the growing business needs. This requires upholding a high standard for data accuracy and operations like tackling problems of race condition, accuracy, and throughput optimization while also maintaining operations of our highly-scalable infrastructure by applying engineering best practices and providing first-class on-call support.
 

What We Are Working On:
Alex is improving the legal aspect of our price changes. 
Ben is enhancing the feature set we can offer to bundle users, and working on the org architecture. 
Daniel Berg is thinking about how to increase our system throughput. 
Nimrod is working on creating a next-gen platform for offers and upsells. 
Rohit K is working on remodeling offers and improving gaps in our pricing strategy. 
Priyanka is building infrastructure to improve our operations and testing capabilities. 
Rohit G is building infrastructure to improve our alerting, and data accuracy 
Steve is helping to support the Netflix Games initiative. 
Daniel M is working on a new product that we can’t share details about
Chaim got to lead this dream team for 4 years.
 

We're Eager to Talk to You If:

• You have 4+ years of experience crafting resilient, high-scale, low-latency, distributed microservices in production environments.
• You are driven by the desire to solve hard infrastructure problems with the goal of automating and scaling everything. 
• You genuinely enjoy collaborating and sharing ideas with the team. 
• You are excited to operate in a cross-functional dynamic environment and communicate effectively.
• Comfortable asking questions and seeking knowledge in unfamiliar or ambiguous situations.

Some nice to haves:

• Working experience with {Java || Kotlin || C# || Scala}, ElasticSearch, Kafka, Hive or AWS.
• Experience with Presto and/or Spark SQL, Apache Flink
• Proficient with gRPC, GraphQL, or RESTful API design and implementation.
• Experience with SQL & NoSQL multi-region data stores such as Cassandra, Amazon Aurora, and Memcached.
• Experience working with Change Data Capture (CDC) design patterns and asynchronous programming constructs 
• Solid understanding of what being on-call means and can resolve production outages independently.
• Bachelor's degree (or higher) in Computer Science or a related field.

Does this sound like something you'd like to do? Awesome! We'd love to hear from you.
 

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 $100,000 - $720,000.

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.

Job is open for no less than 7 days and will be removed when the position is filled.