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Netflix Engineering Manager Big Data Analytics Platform 
United States, California 
331509992

23.06.2024
Engineering Manager, Big Data Compute Spark
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What you will do:
  • Partner to deliver the vision, strategy, and adoption of current and future technologies
  • Form trusting cross-functional partnerships to align many engineering teams and ensure our solutions meet their needs, selflessly prioritizing work beyond the scope of your own domain
  • Build, scale, and grow a team of outstanding engineers, challenge them to bring their best selves to work every day, and deliver industry-leading results in stability, performance, and efficiency
  • Balance smart risks, investment in foundational technical work, paying off tech debt, and incremental improvements to deliver timely results across multiple critical strategies
What we are looking for:
  • An experienced engineering leader who can drive a team of amazing and geographically distributed engineers to do their best work while building and maintaining strong partnerships with peers and stakeholders
  • Ability to dive deep as needed to facilitate technical strategy trade-offs and zoom out to understand the big picture to shape the product
  • Experience building and running extremely reliable platform systems supporting high-scale and critical workloads, including running a 24x7 on-call, +% availability, fast response and short mean-time-to-restore service
  • Bring rigor to decision making and drive down ambiguity with the right mix of collecting data, seeking input, farming for dissent, and making pilot investments to build understanding or confirm direction
  • Proven track record helping a team deliver timely results on critical priorities against many demands for their time, and partnering with product and engineering management to influence the right areas for investment
  • Experience building and leading software engineering teams with a focus on inclusion and diversity, ensuring that we can attract and retain the best talent from anywhere and that all voices are heard to inform our direction
  • Experience in Orchestration, Spark and/ or Big Data Analytics technologies is not a must, but very desirable
Compensation and Benefits
Our compensation structure consists solely of an annual salary; we do not have bonuses. You
choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $190,000 - $920,000.