Senior Staff, Software Engineering

Warner Bros. Entertainment Inc.

Not specified; not specified; not specified
12+ years backend distributed systems experience
Aws gcp azure cloud-native architecture expertise
Kafka kinesis streaming event-driven systems knowledge
This role is accountable for designing software platforms that process billions of ad events daily across Warner Bros. Discovery's global advertising ecosystem

Job Summary

  • This role is accountable for designing software platforms that process billions of ad events daily across Warner Bros. Discovery's global advertising ecosystem.
  • The successful candidate will lead the transformation of legacy AdTech systems into modular, extensible, cloud-native platforms while ensuring mission-critical reliability.
  • Warner Bros. Discovery offers career-defining opportunities with thoughtfully curated benefits and a supportive culture where employees are celebrated and encouraged to thrive.

Matching Summary

This role is accountable for designing software platforms that process billions of ad events daily across Warner Bros. Discovery's global advertising ecosystem.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 12+ years backend distributed systems experience
  • AWS GCP Azure cloud-native architecture expertise
  • Kafka Kinesis streaming event-driven systems knowledge
  • Low-latency high-throughput service design skills
  • CI/CD automated testing observability implementation

Nice-to-have

  • AdTech domain knowledge in forecasting and yield optimization
  • Experience productionizing ML models into services
  • Strong technical mentorship and leadership capabilities
  • PhD in distributed systems or statistical optimization
  • Ability to drive root cause analysis for incidents

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 12+ years building large-scale backend/distributed systems
  • Hands-on expertise with containerization and orchestration tools
  • Deep knowledge of Kafka, Kinesis, or Pub/Sub architectures
  • Demonstrated ability to partner with data scientists and product teams

Work Rights

Not specified

Tailored Resume

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