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Company Info

Cloudera
United States

Company Profile


Cloud Platform Tools and Infrastructure Engineer


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Job ID:

5349

Location:

San Francisco, CA, United States 

Category:

Big Data Developer, C++ #, Cloud Computing, Hadoop
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Job Views:

418

Posted:

06.02.2017
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Job Description:

Cloudera is looking for an experienced Software Engineer to play a key role in advancing Cloudera’s product offerings in the cloud. In this role, you will be contributing at the intersection of three white-hot areas of the computing industry: Big Data, the cloud, and virtualization.  We are looking for a strong engineer to drive the integration of Cloudera's platform with public and private cloud platforms, and virtualization technologies. Automation is key in this role, and candidates will get exposure to challenging distributed systems problems while building our tools and automation infrastructure. 

 

Responsibilities

    • Design and develop tools and frameworks to validate the infrastructure that hosts enterprise services in cloud environments.
    • Work closely with development, product, and SRE teams to understand the product, plan upfront for testability, and build systems to validate a Service Oriented Architecture.
    • Come up with innovative ways to make our testing repeatable and reliable, with minimal manual intervention
    • Innovate and automate to ensure a highly available and scalable service
  • Go broad: work with product, partner engineering, and other internal and external organizations to synthesize and drive engineering roadmap across our supported cloud platforms.

  • Go deep: identify and jump into hot issues and resolve them, such as performance bottle-necking.

  • Build strong relationships and collaborate with other developers, test engineering, product management, support, sales, and external partners and customers.

Job Requirements:

  • 5+ years of industry experience building robust and highly scalable solutions in Java. We’re equally happy hiring people versed in C/C++/C#/Scala/Go.

  • Deep understanding of algorithms and data structure fundamentals.

  • Proven experience designing and implementing features in large distributed systems that scale well – to petabytes of data and tens of thousands of nodes.

  • Knowledge of Linux internals and performance tuning and engineering.

  • Experience with cloud technologies such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform.

  • Demonstrated experience with driving successful cross-functional projects.

  • B.S. or M.S. in Computer Science or equivalent experience.

Pluses

 

  • Experience with Hadoop and related technologies.

  • Knowledge of virtualization technologies such as VMware vSphere and ESX.

  • Previous experience with interfacing effectively with partners.




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