Job description

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. We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Ads Platform Engineering creates the ecosystem that spans across the “Pitch to Pay” process. It goes all the way from enabling our sales teams (and other DSPs, resellers) to engage advertisers to run their campaigns on Netflix, and cuts across inventory and order management, campaign execution, ad serving, audience onboarding, targeting and delivery, measurement, reporting and finance. Our team is new, yet we have enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. The Ads Reporting Infrastructure team builds and operates the foundational systems that collect, enrich, and deliver ads-related events at scale. These systems ensure that raw signals from client devices, servers, and third-party integrations are transformed into clean, reliable, and privacy-safe data streams powering measurement, serving, reporting, and financial workflows. We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey. Skills & experience we’re seeking: • Experience with real-time systems a must • Extensive experience in building large-scale, low-latency distributed systems and real-time data processing • Experience building low-latency, highly available pipelines to ingest billions of ad events daily from client and server endpoints. • Experience building monitoring, alerting, and auditing systems to guarantee end-to-end data accuracy, timeliness, and completeness. • Hands-on expertise building and integrating with ad technologies such as SSPs, DSPs, or Ad Servers. In-depth understanding of programmatic advertising. • Expertise in building and integrating APIs and services with data technologies such as Apache Druid for real-time analytics and data processing • Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends. • Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented) • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. • Excellent communication, negotiation, and relationship-building skills. Must-haves: • JVM based programming language (or C++) • Deep knowledge of at least one of these: • Stream processing frameworks (e.g., Apache Flink) • Real-time event processing systems • Distributed caching system • Experience designing event-driven or streaming data pipelines • Experience working in Pacing and Budgeting teams at large advertising companies Nice to haves: • Experience with Apache Flink or similar streaming frameworks • Experience with ads infrastructure (ad serving, pacing, budgeting, measurement, or attribution) • Experience building event ingestion pipelines • Familiarity with streaming analytics systems • Experience working with large-scale event pipelines (millions+ events/sec) • Streaming Analytics • Ads serving • Experience working in Ad Serving teams (DSP or SSP) 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 $388,000.00 - $619,000.00. 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.

Requirements

Must-haves

Experience with real-time systems a must
Extensive experience in building large-scale, low-latency distributed systems and real-time data processing
Experience building low-latency, highly available pipelines to ingest billions of ad events daily from client and server endpoints.
Experience building monitoring, alerting, and auditing systems to guarantee end-to-end data accuracy, timeliness, and completeness.
Hands-on expertise building and integrating with ad technologies such as SSPs, DSPs, or Ad Servers. In-depth understanding of programmatic advertising.
Expertise in building and integrating APIs and services with data technologies such as Apache Druid for real-time analytics and data processing
Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented)
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Excellent communication, negotiation, and relationship-building skills.
JVM based programming language (or C++)
Deep knowledge of at least one of these:
Stream processing frameworks (e.g., Apache Flink)
Real-time event processing systems
Distributed caching system
Experience designing event-driven or streaming data pipelines

Nice-to-haves

Experience with Apache Flink or similar streaming frameworks
Experience with ads infrastructure (ad serving, pacing, budgeting, measurement, or attribution)
Experience building event ingestion pipelines
Familiarity with streaming analytics systems
Experience working with large-scale event pipelines (millions+ events/sec)
Streaming Analytics
Experience working in Ad Serving teams (DSP or SSP)
Netflix is a unique culture and environment. Learn more here .

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off