Cloud Software Engineer 1082
Peterson Technologies - Fort Meade, MD

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Candidate must have an active Top Secret clearance with Polygraph.
All positions are located in the Fort Meade and surrounding areas.

Required Skills:
Shall have at least five (5) 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 four (4) years of experience developing software with high level languages such as Java, C, C++.
Distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, and so forth.
Shall have experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, and so forth.
Shall have experience with the Hadoop Distributed File System (HDFS).
Shall have 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 experience on the design and development of at least one Object Oriented system.
Shall have 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 have generated technical documents in support of a software development project.
Shall have demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, Cloudbase/Acumulo, Big Table, and so forth.
Shall have demonstrated experience, work or college level courses, in at least two (2) of the desired characteristics below.

Desired Skills:
Experience deploying applications in a cloud environment.
Understanding of Cloud Scalability.
Hadoop/Cloud Certification.
Experience designing and developing automated analytic software, techniques, and 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.