Distinguished Product Software Engineer

Disney Disney · Media · Glendale, CA +1

Distinguished Product Software Engineer at Disney Entertainment & ESPN Technology, responsible for defining and delivering state-of-the-art platforms and ML-driven experiences for Sports, News, and Developer Platform. The role involves technical vision, hands-on architecture, setting technical standards, and mentoring senior engineers to translate strategy into measurable consumer and platform outcomes.

What you'd actually do

  1. Guide technical strategy and vision for Sports, News and developer platform, driving innovation and integration across teams.
  2. Drive system stability and reliability by implementing robust monitoring, automated alerting, and proactive incident response strategies to minimize downtime and ensure consistent performance.
  3. Architect for global scale and cost—optimize latency, availability, throughput, and observability; ensure the overall system is coherent and evolvable.
  4. Elevate platform standards for APIs, coding practices, CI/CD, model monitoring, governance, and responsible AI so teams ship faster with higher quality.
  5. Mentor and multiply senior/staff/principal engineers; drive cross‑alliance design reviews and decision records; cultivate a culture of innovation and learning.

Skills

Required

  • 15+ years building large‑scale consumer systems
  • Experience at technology companies known for advanced AI capabilities and large-scale consumer-facing products
  • Exceptional communication skills
  • Wide-ranging experience covering everything from infrastructure to native applications
  • Ability to dive deep technically while holding the end‑to‑end architecture
  • Demonstrated track record setting engineering standards and leading cross‑functional initiatives at org scale
  • Advanced proficiency in API design, CI/CD pipelines, and cloud-native infrastructure
  • Experience managing technical roadmaps and aligning cross-functional teams to organizational objectives

Nice to have

  • Background with sports, news, or event‑centric products and their scale/traffic patterns
  • Proven ability to define and govern platform‑wide standards and influence alliance‑level
  • Demonstrated success in mentoring and developing senior engineering talent across multiple teams
  • Experience machine learning to drive user engagement and retention in large-scale consumer platforms

What the JD emphasized

  • ML-driven experiences
  • ML problems
  • machine learning to drive user engagement and retention

Other signals

  • ML-driven experiences
  • ML problems
  • machine learning to drive user engagement and retention