Staff Backend Engineer (Ads Platform)

Fox Corporation•New York, NY

2d•Hybrid

About The Position

At AdRise, we build cutting-edge advertising capabilities for Tubi and across the Fox portfolio of brands across Sports, Entertainment and News, and including Fox One, the new direct to consumer streaming service. Before streaming became industry standard, AdRise powered Tubi's growth from the ground up by developing real-time ad delivery and dynamic targeting infrastructure that scaled to serve hundreds of millions. That same tech foundation is now fueling FOX's cross-portfolio monetization strategy. Put simply, we are creating the most efficient, intelligent, and transparent advertising ecosystem in the world, starting with streaming. We are enhancing the in-house ad tech stack by optimizing server-side delivery, building ML-driven targeting systems, and enabling content-personalized ad experiences that respond to what viewers actually watch. From real-time decisioning to data collaboration with AWS and Databricks, we are creating a smarter, more dynamic ad tech ecosystem. The problems are complex, the visibility is high, and the platform is built for impact. If you want to work at the center of streaming monetization on systems that touch hundreds of billions of impressions and shape the next generation of personalized advertising, this is your platform. The Ads Delivery team at Adrise builds the systems that turn advertiser budgets into effective, well-paced ad outcomes. As part of this role, you’ll design and operate distributed backend services that decide when, where, and how ads are delivered across partner apps. Working closely with our ML, Data Science, and Ad Serving teams, you’ll implement algorithms for pacing, planning, and optimization, and continuously improve how we deploy, scale, and operate our ad delivery platform.

Requirements

8+ years of production experience designing and building scalable distributed systems using JVM languages (Scala preferred; Java/Kotlin acceptable).
Deep hands-on experience with relational databases (Postgres), caching systems (Redis), and streaming or messaging platforms (Kafka and/or Kinesis).
Strong experience with Akka technologies, including clustering and distributed coordination in production environments.
Proven experience building and operating near real-time, high-performance, fault-tolerant services at scale.
Experience with big data or streaming frameworks such as Apache Spark or Flink in production settings.
Demonstrated technical leadership, including driving design alignment, influencing architecture across teams, and owning outcomes beyond a single service.
Strong sense of ownership, pragmatism, and a bias toward doing things the right way while keeping the business moving.

Nice To Haves

Experience in adtech: serving, targeting, delivery and/or measurement technologies
Experience operating large distributed systems with Kubernetes/kustomization, Terraform, and related infrastructure tooling.

Responsibilities

Architect, design, and evolve large-scale, high-throughput, low-latency distributed systems that power ad delivery and pacing at scale, primarily using Scala.
Set technical direction for critical Ads Delivery services, making long-term design decisions that balance performance, reliability, and velocity.
Lead API and service development with a strong emphasis on correctness, observability, and operational excellence.
Drive cross-team technical initiatives with ML, Data Science, and Ad Serving to improve pacing, planning, and optimization systems.
Identify architectural bottlenecks and lead efforts to simplify, modernize, or re-platform systems as the business scales.
Raise the engineering bar through rigorous code reviews, design reviews, and hands-on mentorship of senior and mid-level engineers.
Champion experimentation by prototyping new approaches, validating them in production, and scaling what works.
Take ownership of production health, incident prevention, and post-incident learning across the Ads Delivery stack.