Distributed Systems Engineer 5 - Ad Server Platform New
Role details
Job location
Tech stack
Job description
Our 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.
What You'll Do
- Build and operate the ad serving runtime: request orchestration, targeting evaluation, policy enforcement, and ad selection under strict latency SLAs
- Work closely with the programmatic team on infrastructure related to bid request/response handling, QPS management, and load shedding
- 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
- Maintain and enhance APIs consuming upstream business objects, transforming them, and propagating updates to the ad server
- Improve and evolve the frequency management service
- Design logs, APIs and data contracts consumed by downstream teams
- Drive platform reliability: SLO-driven development, graceful degradation, circuit breakers, capacity planning, and incident response
- Instrument comprehensive logging, tracing, and telemetry across the ad request lifecycle
- Own the full software development lifecycle for your systems: design, implementation, deployment, operations, and deprecation
Requirements
- 7+ years building distributed systems and backend services at scale
- Built or operated ad servers, SSPs, DSPs, or real-time bidding infrastructure
- Strong platform engineering mindset: APIs, contracts, backward compatibility, multi-team consumers
- Deep understanding of latency engineering: profiling, cache hierarchies, connection pooling, async I/O
- Experience designing highly available, fault-tolerant systems with strong understanding of concurrency, parallel processing, and microservices architecture
- Experience with event-driven architectures: Kafka, Flink, or similar stream processing
- Proficiency in Java, Kotlin, or similar JVM languages with a history of writing production-quality, well-tested code
- Understanding of ad serving concepts: targeting, frequency capping, publisher controls, programmatic protocols
- Ability to operate in an environment that is a mix of big-tech scale and startup speed
Nice to Haves
- Experience with CTV constraints: server-side ad insertion, live event ad serving at scale (NFL-sized audiences)
- Multi-region deployment experience: active-active architectures, failover, and disaster recovery
- Chaos engineering or SRE practices: error budgets, game days, fault injection
- Built or improved logging and telemetry frameworks for high-throughput request pipelines
Benefits & conditions
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.