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Software Engineer, Senior Cloud - AR

Annapolis Junction, MD
TS/SCI with Polygraph is Required.

Required Qualifications
  • Shall have at least ten (10) years’ experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
  • Shall have at least six (6) years of experience developing software using the Java programming language. At least four ( 4) years ofthis experience must have been obtained in the last seven (7) years;
  • Shall have demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.
  • Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
  • Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS)
  • Shall have demonstrated work experience with serialization such as JSON and/or BSON
  • Shall have at least three (3) years’ experience developing software for Windows (2000, 2003, XP, Vista), or UNIX/Linux (Redhat versions 3-5) operating systems.
  • Shall have demonstrated work experience in the design and development of at least one Object Oriented system.
  • Shall have demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
  • Shall have at least three (3) years’ experience in software integration and software testing, to include developing and implementing test plans and test scripts.
  • Shall have demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
  • In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics.
 
Desired Qualifications
  • At least four( 4) years of experience of either C or C++ Windows/Linux programming;
  • Experience deploying applications in a cloud environment.
  • Understanding of Cloud Scalability
  • Hadoop I Cloud Certification
  • Experience designing and developing automated analytic software, techniques, and algorithms.
  • Experience developing and deploying: analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.
  • Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
  • Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
  • Experience with linguistics (grammar, morphology, concepts).
  • Experience developing and deploying analytics that discover and exploit social networks.
  • Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
  • Experience developing and deploying analytics within a heterogeneous schema environment.
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an Equal Opportunity Employer.
 

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