Senior Software Engineer (Ad Tech Team - AWS experience required)

Warner Bros. DiscoveryNew York, NY
$131,600 - $244,400

About The Position

The Senior Software Engineer is accountable for designing and delivering scalable, cloud-native solutions that power our advertising technology stack. This role involves building and maintaining services for ad-serving, campaign management, and identity systems, as well as developing APIs and integrations with third-party AdTech partners and data providers. The engineer will also design and implement ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization, working with big data frameworks like Spark and Kafka. Additionally, the role contributes to the migration of legacy systems to modular, cloud-native architectures and implements observability, security, and compliance best practices. Collaboration with product and operations teams to align technical solutions with business goals, and mentoring junior engineers are also key aspects of this position.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years in software engineering, with exposure to AdTech or large-scale distributed systems.
  • Hands-on expertise with Java, Scala, or Python.
  • Experience with cloud platforms (AWS/GCP/Azure).
  • Strong knowledge of SQL and NoSQL databases.
  • Familiarity with big data tools (Spark, Kafka) and streaming architectures.
  • Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.
  • Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

Responsibilities

  • Build and maintain services for ad-serving, campaign management, and identity systems.
  • Develop APIs and integrations with third-party AdTech partners and data providers.
  • Design and implement ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization.
  • Work with big data frameworks (Spark, Kafka) to handle large-scale datasets.
  • Contribute to migration of legacy systems to modular, cloud-native architectures.
  • Implement observability, security, and compliance best practices.
  • Partner with product and operations teams to align technical solutions with business goals.
  • Share best practices and mentor junior engineers when needed.

Benefits

  • health insurance coverage
  • an employee wellness program
  • life and disability insurance
  • a retirement savings plan
  • paid holidays and sick time and vacation
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