KR04CSWE3 - Sr. Cloud Software Engineer - Cleared

Looking for a Cloud Software Engineer Skill Level 3 to augment the existing platform team for a large analytic cloud repository. A successful candidate for this position has experience working with large Hadoop and Accumulo based clusters and a familiarity with open-source technologies. Additional knowledge of Linux OS development, Prometheus, Grafana, Kafka and CentOS would benefit the candidate. Ideal candidates would have familiarity with open-source products and be willing/able to learn new technologies. The platform team builds subject matter expertise. This position will have a primary focus supporting Accumulo. 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

• 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 three (3) 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.
• In addition, the candidate will have demonstrated experience, work or college level courses, in at least four (4) of the desired characteristics.
• 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 possess the Hadoop/Cloud Developer Certification.
• 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:

• Apache Hadoop
• Java Programming
• HAProxy
• Linux operating system monitoring and tuning
• Linux operating system level virtualization
• Committer/contributor to open source application
• Agile development experience
• Familiarity with microservices software development technique and container-orchestration (e.g., Kubernetes)
• Apache Accumulo
• Apache Zookeeper
• Nifi
• Experience deploying applications in a cloud environment.
• 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; 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; analytics that employ techniques commonly associated with Artificial Intelligence.
• Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
• Experience with linguistics (grammar, morphology, concepts).
• Experience developing and deploying analytics that discove