Cloud Software Engineer 3 | Laurel, MD

Detailed Information

  • Location: Laurel, MD

  • Company: Wyetech

a self-motivated Java developer who proactively completes tasks with a strong attention to detail. The candidate must be able to work independently and as part of a team and will be exposed to a variety of technologies depending on customer requirements. Capabilities Shall have at least eight (8) years of 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 with high level languages such as Java, C, C++ Shall have demonstrated ability to work with Open Source (No SQL) products

that support highly distributed, massively parallel computation needs such as Hbase, 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 demonstrated work experience developing Restful services Shall have at least five (5) years of experience developing software for UNIX/Linux (Redhat versions 3-5) operating systems Shall have demonstrated work experience in the requirements analysis and design 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 of 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 Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics Experience deploying applications in a cloud environment Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines Willingness to be a committer/contributor to open source applications Required Qualifications TS/SCI with Agency Appropriate Polygraph A Bachelor's Degree in Computer Science or in a related technical field is highly desired which will be considered equivalent to two (2) years of experience A Master's degree in a Technical Field will be considered equivalent to four (4) years of experience Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field Required Technical Skills Java programming for distributed systems, with experience in networking and multi-threading Apache Hadoop Apache Accumulo Apache Ni Fi Agile development experience Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.

g. Python, Ruby, Perl, etc. ) Experience with source code management practices and tools Enabling tools: Git, Maven, Jira Continuous Integration / Continuous Testing: Bamboo, Jenkins, Git Lab Cl/Pipelines Continuous Monitoring: ELK Stack (Elastic Search, Logstash and Kibana), Nagios Familiarity with microservices software development technique and container-orchestration (e.

g. Kubernetes) Hadoop/Cloud Developer Certification Desired Skills Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook) 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 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 Wyetech, LLC is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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