KR53CSWE3 - Sr. Cloud Software Engineer - Cleared

The Cloud Software Engineer, Level 3, will Provide cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution. The candidate will:

• Analyze unstructured and structured data, data tagging, event processing, and the application of analysis algorithms on clustered and cloud-based high-performance infrastructures.
• Develop analytics against data collections of data and data streams. Has the ability to make discoveries in the data.
• Demonstrate strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy applications.
• Be able to utilize advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Exercise creativity in applying non-traditional approaches at-scale for data.

Provide cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.

Requirements

TS/SCI with poly required

• 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. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
• 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 OpenSource (NoSQL) 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.

Desired:

• GoLang, Python, Java, Hadoop, Accumulo
• Experience with core AWS services
• Good background in Linux/Unix administration
• Experience with Docker and Kubernetes.
• Having used EMR, EC2 and various Databases is a plus
• 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
• 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 on