Job Details
Cloud Software Engineer II (77822BR)
Job Description The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.Required Education, Experience, & Skills Bachelor's degree in computer science, engineering, mathematics, or a related discipline plus 3 years of experience.
- Experience deploying applications in a cloud environment.
- Understanding of Cloud Scalability
- Hadoop/Cloud Certification
- Experience designing and developing automated analytic software, techniques, and algorithms.
- 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.
- LDAP protocol configuration management and cluster performance management (e.g. Nagios).
- Experience deploying applications in a cloud environment.
- Understanding of Cloud Scalability
- Hadoop/Cloud Certification (U) 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.