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Job Title: Remote Distributed Systems Engineer (L4) - Data Platform at Netflix ($28/Hour)

Remote · USA Full-time New today

Join the Netflix Team as a Distributed Systems Engineer (L4) - Data Platform and be part of a dynamic team that enables the company to leverage data to bring joy to its members in various ways. As a key member of the data infrastructure groups, you will help build and enhance the company's infrastructure to support its aggressive goal of reaching 500 million people worldwide. This is a full-time remote opportunity that offers a competitive salary of $28/hour and the chance to work with a diverse and inclusive team.

At Netflix, the data infrastructure groups provide unified data platforms and tools for various business functions, enabling them to make data-driven decisions. The company is committed to building a best-in-class data infrastructure and is looking for talented individuals to join its team. As a Distributed Systems Engineer (L4) - Data Platform, you will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the company's open-source community.

Key Responsibilities

  • Design and build scalable, fault-tolerant, and highly available distributed systems
  • Collaborate with engineers, product managers, and TPMs across teams to drive cross-functional initiatives
  • Contribute to the company's open-source community and share experiences with the open-source networks
  • Work on large-scale distributed systems features or applications, applying programming and analytical problem-solving skills

Requirements

  • 2+ years of experience building large-scale distributed systems features or applications
  • Proficient in the design and development of RESTful web services
  • Experienced in building and operating scalable, fault-tolerant, and distributed systems
  • Knowledgeable in Java or other object-oriented programming languages
  • Comfortable with multi-threading and handling complex technical challenges
  • BS in Computer Science or a related field

What We Offer

  • Competitive salary of $28/hour
  • Full-time remote opportunity
  • Chance to work with a diverse and inclusive team
  • Opportunity to contribute to the company's open-source community
  • Collaborative and dynamic work environment

Ready to Apply?

If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.

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