Design and develop scalable, distributed backend services that power ad delivery across FOX’s streaming platforms
Build and optimize systems responsible for ad pacing, forecasting, and delivery decisioning in near real-time
Collaborate with ML and Data Science teams to productionize algorithms for campaign optimization and performance
Improve system performance, reliability, and scalability to support hundreds of billions of ad impressions
Develop and maintain integrations with data pipelines, messaging systems, and real-time streaming frameworks
Own services end-to-end, including architecture, deployment, monitoring, and ongoing optimization
Contribute to best practices in system design, code quality, and operational excellence
Partner cross-functionally with product, infrastructure, and ad tech teams to evolve the platform

Minimum five years of production experience designing and building scalable distributed systems using JVM languages such as Scala, Java, or Kotlin (Scala preferred)
Strong experience with relational databases (e.g., Postgres), caching systems (e.g., Redis), and message brokers (e.g., Kafka or Kinesis)
Experience building and operating near real-time, high-performance, fault-tolerant services
Hands-on experience with big data streaming frameworks such as Apache Spark or Flink
Strong understanding of distributed systems design, concurrency, and system trade-offs
Proven ownership mindset with a focus on building reliable, maintainable systems
Ability to thrive in a fast-paced environment and adapt to evolving technical challenges
NICE TO HAVE, BUT NOT A DEALBREAKER
Experience in ad tech, including ad serving, targeting, delivery, or measurement systems
Familiarity with Kubernetes, Kustomize, Terraform, and modern infrastructure tooling
At least two years of experience working with Akka technologies, particularly clustering
Experience working on high-scale consumer-facing platforms or streaming ecosystems
Exposure to ML-driven systems or data-intensive applications

Senior Data Engineer

Key skills