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Distributed Systems Cloud Engineer

This is a great opportunity for a talented and hard-working Senior Engineer or Technical Lead to step up to the next level, and build secure cloud services for users of the world’s best-selling mobile devices. The Samsung Mobile Cloud Services Team is focused on the rapid development of cloud based end-to-end mobile applications and services. This is an exciting area for Samsung: Cloud based service platforms and infrastructure to support mobility. Come join the Samsung Mobile Cloud Services team and help us define and develop the future role of smartphones and services!

Position Summary:

The Cloud services group is looking for world class server software engineers to join our technology innovation group focused on the rapid development of cloud based end-to-end mobile applications and services. This is an exciting area for Samsung: Cloud based service platforms and infrastructure to support mobility.

Responsibilities Include:

  • Implement, maintain and evolve cloud-based products and services
  • Integrate with external customer and 3rd-party systems
  • Perform extensive research and analysis to make optimal architecture and design decisions
  • Analyze and improve security for Cloud application, provide expert guidance to Engineers on security
  • Write large amounts of code, perform code reviews, write unit tests
  • Write documentation
  • Interface with other groups including Product Management, QA and Operations
  • Create quick proof-of-concept prototypes
  • Participate in scrum team

Experience Requirements:

  • BS or MS in Computer Science or equivalent experience
  • Hands-on experience developing applications for highly available distributed systems
  • Strong computer science fundamentals in data structures, algorithm design, and complexity analysis
  • Good knowledge of stream and batch processing, distributed caching, messaging systems
  • Knowledge of network and web related protocols (e.g., TCP/IP, IPSEC, HTTP, HTTPS, TLS)
  • Good working knowledge of SQL and NoSQL databases

Preferred Experience Requirements:

  • Experience in Big Data technologies like EMR, HBase, Phoenix and Spark
  • Apache Kafka
  • Redis
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