KR47CSWE2 - Mid Level Cloud Software Engineer - Cleared

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 possess the Hadoop/Cloud Developer Certification.
• Shall have at least five (5) 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 four(4) 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 two (2) of the desired characteristics.
• Java programming for distributed systems, with experience in networking and multi-threading
• Apache Hadoop
• Apache Accumulo
• Apache NiFi
• 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
• Willingness to be a committer/contributor to open source applications
• Continuous Integration / Continuous Testing: Bamboo, Jenkins, GitLab Cl/Pipelines
• Continuous Monitoring: ELK Stack (ElasticSearch, Logstash and Kibana), Nagios
• Familiarity with microservices software development technique and container-orchestration (e.g., Kubernetes)

Desired:

• 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 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.

Benefits