Distributed Systems Engineer 5 - Ad Server Platform

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\u2019s next.\n\nWe launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming 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.\n\n## Our Team\n\nThe Ad Server Platform team sits within the Ad Serving \u0026 Decisioning org at Netflix Ads. We build and maintain the robust, scalable, and efficient ad serving infrastructure that forms the backbone of Netflix\u2019s advertising ecosystem. Our mission is to ensure seamless and reliable delivery of ads across all platforms, devices, and viewing contexts.\n\nOur work spans the core services and frameworks that the broader Ads Platform depends on: supply-agnostic controls, policies, frequency caps, applying floor prices, ad podding rules, competitive separation, rule-based targeting, event processing, and the logging frameworks. We are looking for a distributed systems engineer with a platform mindset to build and scale infrastructure that multiple teams across the ads ecosystem depend on daily.\n\n## What You\u0027ll Do\n\n * Build and operate the ad serving runtime: request orchestration, targeting evaluation, policy enforcement, and ad selection under strict latency SLAs\n\n * Work closely with the programmatic team on infrastructure related to bid request/response handling, QPS management, and load shedding\n\n * Build and evolve the rule engine framework: a unified execution framework for blocking policies, frequency caps, supply floors, ad podding rules, competitive separation, and ad load management\n\n * Maintain and enhance APIs consuming upstream business objects, transforming them, and propagating updates to the ad server\n\n * Improve and evolve the frequency management service\n\n * Design logs, APIs and data contracts consumed by downstream teams\n\n * Drive platform reliability: SLO-driven development, graceful degradation, circuit breakers, capacity planning, and incident response\n\n * Instrument comprehensive logging, tracing, and telemetry across the ad request lifecycle\n\n * Own the full software development lifecycle for your systems: design, implementation, deployment, operations, and deprecation\n\n\n\n\n## Skills \u0026 Experience We\u0027re Seeking\n\n * 7+ years building distributed systems and backend services at scale\n\n * Built or operated ad servers, SSPs, DSPs, or real-time bidding infrastructure\n\n * Strong platform engineering mindset: APIs, contracts, backward compatibility, multi-team consumers\n\n * Deep understanding of latency engineering: profiling, cache hierarchies, connection pooling, async I/O\n\n * Experience designing highly available, fault-tolerant systems with strong understanding of concurrency, parallel processing, and microservices architecture\n\n * Experience with event-driven architectures: Kafka, Flink, or similar stream processing\n\n * Proficiency in Java, Kotlin, or similar JVM languages with a history of writing production-quality, well-tested code\n\n * Understanding of ad serving concepts: targeting, frequency capping, publisher controls, programmatic protocols\n\n * Ability to operate in an environment that is a mix of big-tech scale and startup speed\n\n\n\n\n## Nice to Haves\n\n * Experience with CTV constraints: server-side ad insertion, live event ad serving at scale (NFL-sized audiences)\n\n * Multi-region deployment experience: active-active architectures, failover, and disaster recovery\n\n * Chaos engineering or SRE practices: error budgets, game days, fault injection\n\n * Built or improved logging and telemetry frameworks for high-throughput request pipelines\n\n\n\n\nGenerally, 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.\n\nNetflix 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. \n\nNetflix is a unique culture and environment. Learn more here.\n\nInclusion 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.\n\nWe 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.\n