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Cloud Software Engineer II

Hanover, Maryland
Reflexive Concepts is seeking a skilled Cloud Software Engineer to join our growing team!

Specifically, we are seeking a Big Data / Distributed Systems Engineer with demonstrated experience designing and developing applications in Windows and UNIX/Linux environments, and hands-on experience with Hadoop, Ruby on Rails, JavaScript, and related cloud and distributed computing technologies.

Qualifications:
  • Bachelor’s degree in Computer Science or related discipline from an accredited college or university
    • Five (5) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree
                                                                             OR
  • Associate's degree in Computer Science or related discipline with an additional two (2) years of programming experience
Required:
  • Hadoop/Cloud Developer Certification
  • Within the last three (3) years, a minimum of one (1) years' experience with Map/Reduce and/or Hadoop, Hive, and/or Pig Within the last three (3) years, a minimum of one (1) year experience the Hadoop Distributed File System (HDFS)
  • Within the last seven (7) years, a minimum of five (5) years experience programming with at least two (2) of the following languages:
    • Java
    • C
    • C++
  • Within the last five (5) years, a minimum of three (3) years of experience designing and developing applications in a Windows or UNIX/Linux operating environment
  • Within the last five (5) years, a minimum of three (3) years experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, CloudBase/Accumulo, and/or Big Table
  • Within the last three (3) years, a minimum of one (1) year experience with requirements analysis and design for one (1) or more object-oriented systems
  • Demonstrated experience in:
    • Developing RESTful services
    • Designing and developing web applications with JavaScript
    • Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
    • Designing and developing automated analytic software, techniques, and algorithms
    • Compute cluster monitoring tools (e.g. Hobbit, Ganglia)
    • CLOUDBASE internals, to include configuring, tuning, and testing CLOUDBASE in many configurations (>200 node clusters)
    • Cluster performance management (e.g. Nagios)
    • COPILOT, PRESSUREWAVE, and/or the R6 Cloud and/or the installation, configuration, and tuning of the same
    • Linguistics (grammar, morphology, concepts) and/or Rosette Base Linguistics software for Chinese and/or Arabic
    • LDAP protocol configuration and management
    • Developing and deploying analytics that discover and exploit social networks
    • Documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces, and other technical specifications
    • Developing and deploying analytics within a heterogeneous schema environment
    • Ruby-on-Rails framework

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