Sr. Cloud Big Data Architect/Engineer LOC: Bellevue, WA

100,000 - 200,000

Job Description:

Job Description

  • This position will working closely with members from partner teams and teams at Huawei's HQ in China, he/she will be responsible for:Architect and design our next generation big data cloud service and ecosystem that are secure and reliable at large scale.
  • Understand the challenges of big data service, cloud monitoring, cloud debugging and overall cloud resource management.
  • Design and innovate technologies or solutions for large scale distributed cloud service and big data analysis, through POC and collaboration with internal and external partners.
  • Deliver rapidly iterative new design and/or new technology POC as well as service releases.
  • Collaborate with and contribute to open source communities Requirements 8+ years of large scale distributed software design and development experience A proven track delivering large system to a predefined schedule.
  • Extensive design and implementation experience in distributed system and cloud service.
  • Experience in two of the following languages: C/C++, Java, C#, Ruby, Python etc.
  • Excellent analytical and problem solving skills BS or higher degree in computer science or a related field.
  • Expertise in Ha doop eco-system (YARN, Spark, MR, HDFS, HBase, Presto, Hive, etc.)
  • Experience in one or more of the following cloud platforms: Cloud Foundry, Openshift, AWS Web Services, Microsoft Azure, Microsoft Enterprise Cloud, Google App Engine, Heroku, or other cloud technologies.
  • Experience in Amazon EMR and Kinesis, Azure HD Insights and other big data cloud service Experience in OS virtualization and containerization technologies is a plus.
  • Experience in one or more of following open source projects is a plus: Docker, Solr, Cloudfiy, Kubernetes, Openstack .Experience in big data real time analysis is a plus.Experience in ML or/and graph analysis is a plus.
  • Experience in enterprise cloud development experience is a plus.Experience in VPC and multi-tenancy resource management.
  • Excellent written and verbal communication skills.
  • Experience in working in a distributed team environment is a plus


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