• Location: Columbia, Maryland
  • Type: Contract
  • Job #2598

Cloud Software Engineer
Location: Emerson
Job Description:
Daily tasking will include identifying relevant data sets and working with mission analysts to create analytics within the customer's cloud environment to discover, enhance, capture and counter cyber activity. Currently analytics are developed in Java using MapReduce, python and Pig.

  • Shall have demonstrated work experience:
  • Five (5) years of general experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
  • Two (2) years of experience with distributed scalable Big Data Store (NoSQL) such as HBase, Cloud Base/Accumulo, Big Table, etc.,
  • Two (2) years of experience with the Map Reduce programming model, the Hadoop Distributed File System (HDFS), and technologies such as Hadoop, Hive, Pig, etc
  • Serialization such as JSON and/or BSON.
  • Developing restful services, Ruby on Rails framework, LDAP protocol configuration management and cluster performance management (e.g., Nagios)
  • Three (3) years of experience developing software in UNIX/Linux (Red Hat versions 3-5+) operating systems.
  • Design and development of at least one Object Oriented System
  • Developing solutions integrating and extending FOSS/COTS products.
  • Should have at least three (3) years of experience in software integration and software testing, to include developing and implmenting test plans and test scripts.
  • Technical writing skills and shall have generated technical documents in support of a software development project.
  • Source Code Management {e.g., Git, Stash, or Subversion, etc.).
    Will have demonstrated experience, work, or college level courses, in at least two (2) of the desired characteristics:

  • Deploying applications in a cloud environment.
  • Understanding of Cloud Scalability
  • Hadoop/Cloud Certification
  • Designing and developing automated analytic software, techniques, and algorithms.
  • Taxonomy construction for analytic disciplines, knowledge areas and skills.
  • Developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
  • Linguistics (grammar, morphology, concepts).
  • 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.         
  • Three (3) years of experience developing software with high level languages such as Java, C, C++.
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