Senior Cloud Software Engineer (Platform team)

Employer
CyberCore Technologies
Location
Annapolis Junction, MD
Posted
Apr 17, 2019
Closes
Apr 17, 2019
Ref
53795951
Hours
Full Time
ALL CANDIDATES MUST HAVE AN ACTIVE TS/SCI WITH A POLYGRAPH CLEARANCE! Description: Working with a massively parallel enterprise platform, built on Free and Open Source Software products including NiFi, Hadoop and Accumulo, to enable execution of data-intensive analytics on a managed infrastructure This position is on the Analytics Engine team We are seeking a self-motivated individual who proactively completes tasks with a strong attention to detail The candidate must be able to work independently and as part of a team The candidate will be exposed to a variety of technologies depending on customer requirements Minimally, the candidate should be skilled in concurrent programming and have experience working with large Hadoop based clusters Required Experience: At least eight (8) years experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution Shall have demonstrated experience working with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, CloudBase/Acumulo, Big Table, etc. Work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc. Work experience with the Hadoop Distributed File System (HDFS) Work experience with serialization such as JSON and/or BSON Work experience in the requirements analysis and design of at least one Object Oriented system Work experience developing solutions integrating and extending FOSS/COTS products At least three (3) years experience in software integration and software testing, to include developing and implementing test plans and test scripts Technical writing skills and shall have generated technical documents in support of software development project Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines At least six (6) years of experience developing software with high level languages such as Java, C, C++ Work experience developing Restful services At least five (5) years experience developing software for Windows (2000, 2003, XP, VISTA) or UNIX/Linux (Redhat versions 3-5) operating systems Hadoop/Cloud Developer Certification or comparable Cloud System/Service Certification. Six (6) months experience administering or implementing Cloud technology will be accepted as substitution for certification In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics Desired Experience: 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 (ie, 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 designing and developing automated analytic software, techniques, and algorithms Experience with taxonomy construction for analytic disciplines, knowledge areas and skills 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 Experience with linguistics (grammar, morphology, concepts) Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)

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