The CNK team supports a set of cloud-based analytics; these analytics are built on the corporate infrastructure and incorporates various technologies.
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. 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.
Responsibilities:
Analyze user requirements to derive software design and performance requirements
Debug existing software and correct defects
Provide recommendations for improving documentation and software development process standards
Design and code new software or modify existing software to add new features
Integrate existing software into new or modified systems or operating environments
Develop simple data queries for existing or proposed databases or data repositories
Write or review software and system documentation
Serve as team lead at the level appropriate to the software development process being used on any particular project
Design or implement complex database or data repository interfaces/queries
Develop or implement algorithms to meet or exceed system performance and functional standards
Assist with developing and executing test procedures for software components
Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas
Modify existing software to correct errors, to adapt to new hardware, or to improve its performance
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design
Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints; perform quality control on team products
Implement recommendations for improving documentation and software development process standards
Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project
Confer with system engineers and hardware engineers to derive software requirements and to obtain information on project limitations and capabilities, performance requirements and interfaces
Coordinate software system installation and monitor equipment functioning to ensure operational specifications are met
Implement recommendations for improving documentation and software development process standards
#divergent
Active TS/SCI with Poly required
Experience with Java 8
Experience with Maven
Experience with Git, Gitlab
Experience with Junit testing and code coverage
Knowledge of Confluence, Jira, or similar
Requirements gathering, documentation and work-flow
Product result driven/problem resolution ability
Cloud Experience:
shall have three (3) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Accumulo, 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
Preferred:
Experience with MapReduce
Experience with Data Science
Experience with Graph Algorithms
Experience with Machine Learning
Experience with AWS
Cloud development experience such as Hadoop, Big Data (Cloudbase/Accumulo and Big Table) as well as JSON/BSON
Experience with analytic development
Experience with Python and streaming capabilities
Experience with Software Configuration Management Tools such as Jira, Git, Confluence and Agile Methodologies
Experience with Linux
Experience with the analytic compliance process
