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[Remote] Performance Systems Engineer 5 - Ad Server Platform

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. They are seeking a Performance Systems Engineer to optimize their ad serving infrastructure, ensuring peak efficiency and reliability under demanding conditions.

Responsibilities

  • Profile and optimize the ad serving runtime for latency, throughput, and resource efficiency across the full request lifecycle: targeting evaluation, policy enforcement, ad selection, and response serialization
  • Identify and eliminate performance bottlenecks across services: CPU hotspots, GC pressure, memory allocation patterns, thread contention, and network overhead
  • Design and run load tests, squeeze tests, and capacity models to validate system behavior under peak and burst traffic (including Live events at NFL scale)
  • Establish performance baselines and regression detection: automated benchmarking in CI/CD to catch regressions before they reach production
  • Instrument comprehensive latency telemetry, tracing, and profiling across the ad request lifecycle to enable data-driven optimization
  • Optimize the rule engine framework and frequency management service for minimal overhead per request as policy complexity grows
  • Work closely with the programmatic team on bid request/response performance: QPS management, connection pooling, timeout tuning, and load shedding under pressure
  • Drive platform reliability through an efficiency lens: capacity planning, autoscaling tuning, graceful degradation, and cost-per-request optimization
  • Own performance SLOs and budgets: define latency budgets per component, track them, and hold teams accountable when budgets are exceeded
  • Partner with infrastructure and platform teams to adopt runtime improvements, evaluate hardware configurations, and tune GC strategies

Skills

  • 7+ years building and optimizing distributed systems and backend services at scale
  • Deep experience with performance engineering: profiling (async-profiler, JFR, flamegraphs), JVM internals (GC tuning, JIT compilation, memory models), and systematic bottleneck analysis
  • Strong understanding of latency engineering: cache hierarchies, connection pooling, async I/O, thread pool sizing, and tail latency reduction
  • Experience designing and running load tests, squeeze tests, and capacity models for high-throughput, latency-sensitive systems
  • Built or operated ad servers, SSPs, DSPs, or real-time bidding infrastructure
  • Proficiency in Java, Kotlin, or similar JVM languages with deep understanding of runtime behavior beyond just writing correct code
  • Experience with event-driven architectures: Kafka, Flink, or similar stream processing, with a focus on throughput optimization and consumer lag management
  • 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
  • Experience with CTV constraints: server-side ad insertion, live event ad serving at scale (NFL-sized audiences)
  • Built or improved logging and telemetry frameworks for high-throughput request pipelines with minimal performance overhead
  • Multi-region deployment experience: active-active architectures, failover, and regional performance variance analysis
  • Chaos engineering or SRE practices: error budgets, game days, fault injection, squeeze testing
  • Experience with hardware-aware optimization
  • Built automated performance regression detection in CI/CD pipelines

Benefits

  • 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
  • Life and Serious Injury Benefits
  • 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

Company Overview

  • Netflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.
  • Company H1B Sponsorship

  • Netflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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