Software Engineer 6 - Creative Studio

Netflix Netflix · Big Tech · Los Gatos, CA +2 · Engineering

Software Engineer 6 role focused on building backend services and APIs for Netflix's advertising creative studio. This involves developing data pipelines and service architecture for GenAI-powered creative formats, instant previews, auto-assembly, and automated workflows to improve advertiser experience and efficiency. The role requires strong backend engineering, system design, and experience integrating with GenAI models.

What you'd actually do

  1. defining and building the highly available, scalable backend services and APIs that power those tools
  2. at the cutting edge of our GenAI format innovation, building the data pipelines and service architecture that enable the massive scale, speed, and sophistication required to make Netflix a dominant player in the digital advertising space
  3. move quickly to set architectural direction across our services, raise the technical bar in design and execution, navigate highly ambiguous problems, and mentor the engineers around them
  4. designing, building, and operating highly available, scalable, and performant backend services in production
  5. designing and implementing backend APIs, data pipelines, and services that integrate with complex systems, including Generative AI models and machine learning platforms

Skills

Required

  • 9+ years of experience designing, building, and operating highly available, scalable, and performant backend services in production
  • Deep expertise in backend engineering, including microservices architecture, database and data modeling, and cloud infrastructure (e.g., using Java, Go, Python, or similar)
  • A strong history of writing production-quality, well-tested, and maintainable code, including API design (REST/gRPC), asynchronous processing, and system monitoring
  • Strong large-scale system design skills, with the ability to bridge business needs and technical implementation and to proactively advocate for reliability, efficiency, and scale
  • Experience designing and implementing backend APIs, data pipelines, and services that integrate with complex systems, including Generative AI models and machine learning platforms
  • A track record of tackling complex, ambiguous technical problems and developing pragmatic, long-term solutions, including laying the architectural foundations for new services and features
  • A demonstrated ability to raise the technical bar of a team through high-quality code reviews, design docs, and execution, and to mentor and grow other engineers
  • Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences
  • A history of successfully driving alignment across cross-functional teams (e.g., Product Management, Design, and partner Engineering teams) to deliver against ambiguous, dense roadmaps
  • Ability to succeed in a fast-paced, dynamic environment while handling multiple priorities effectively

Nice to have

  • Prior experience building tools for digital advertising, with a strong preference for knowledge in ad creatives, creative management, or campaign-building platforms
  • Familiarity with creative lifecycle management, asset libraries, creative building workflows, and pipeline development
  • Experience building backend services or interfaces for machine learning applications or GenAI workflows, particularly in ad review, auto-assembly, or creative generation systems
  • Understanding of the Connected TV (CTV) advertising space and its unique constraints and formats

What the JD emphasized

  • highly available, scalable, and performant backend services in production
  • backend APIs, data pipelines, and services that integrate with complex systems, including Generative AI models and machine learning platforms
  • complex, ambiguous technical problems
  • highly available, scalable, and performant backend services

Other signals

  • GenAI-powered format
  • instant previews
  • auto-assembly
  • intelligent, automated workflows
  • GenAI format innovation
  • data pipelines and service architecture that enable the massive scale, speed, and sophistication required to make Netflix a dominant player in the digital advertising space
  • backend services or interfaces for machine learning applications or GenAI workflows