Distributed Systems Engineer (l5) - Managed Compute

Netflix Netflix · Big Tech · United States · Remote · Engineering

Netflix is hiring a Distributed Systems Engineer for their Managed Compute team. This role focuses on building and operating large-scale cloud infrastructure, including managed compute services, Kubernetes, and optimizing fleet utilization. The engineer will work on designing, developing, and maintaining these systems to ensure scalability, efficiency, and reliability for internal customers.

What you'd actually do

  1. Work closely with Product and Customers to design experiences that anticipate customers' needs and make doing internet-scale computing easy.
  2. Design, develop, and operate high-leverage managed compute services, informing trade-offs between complexity and ease-of-use against Netflix-wide business priorities.
  3. Drive alignment with stakeholders and manage strategic partnerships.
  4. Mentor peer engineers in building, maintaining, and deploying complex features that have impact across Netflix.
  5. Drive operational excellence on the Managed Compute team, continuously improving incident response, on-call, and other operational practices.

Skills

Required

  • architecting and implementing customer-focused products (large-scale distributed systems)
  • building, maintaining, and integrating with Kubernetes operators
  • optimizing fleet utilization
  • communication and relationship-building skills
  • drive infrastructure changes at scale
  • analytical and problem-solving skills
  • ownership and accountability
  • Golang, Java, and/or Python

Nice to have

  • abstraction of orchestration complexities
  • growth mindset
  • continuous drive to learn, evaluate, and adapt
  • balancing complex customer, engineering, and stakeholder needs
  • defining and self-managing cross-functional projects
  • thoughtful collaboration

What the JD emphasized

  • customer-focused products (large-scale distributed systems)
  • Kubernetes operators
  • fleet utilization
  • infrastructure changes at scale
  • complex problems
  • ownership and accountability
  • customer needs
  • ambiguous questions
  • full ownership of projects from conception to production