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Software Engineer, TS/SCI with Full Scope Polygraph
The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software systems based upon documented requirements. Review and test software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilize software development and software design methodologies appropriate to the development environment.
– Analyze user requirements to derive software design and performance requirements.
– Has experience with agile development processes.
– Has experience with source code control systems, such as Git.
– Design and development of relational and non-relational database applications.
– Use of orchestration frameworks such as Spring and Kafka.
– Familiarization with queue management systems.
– Java development using the Eclipse IDE (Integrated Development Environment).
– Development of Java 2 Enterprise Edition (J2EE) applications.
– Experience using collaboration and software development tools (i.e. Atlassian).
– Software development using continuous integration practices.
– Experience with container technologies (i.e. Docker).
– Unix shell scripting.
– Development of event driven or data driven analytics.
– Master’s degree in Computer Science or related discipline from an accredited college or university.
– Bachelor’s degree in Computer Science or related discipline from an accredited college or university, plus 2 years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity.
– 4 years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity.
– Experience developing scripts using Bash/Python.
– Experience using the Unix command line.
– Familiar with Data Center Infrastructure Management (DCIM) technologies such as Nlyte, Itracs, and openDCIM.
– Experience developing with multiple high level programming languages in a Unix environment.
– Experience with software frameworks used for searching, monitoring, and analyzing big data such as Elastic Stack and Splunk.
– Experience with metrics visualization technologies such as Grafana and Kibana.
– Experience with NoSQL technologies such as Elasticsearch and MongoDB.
– Experience with SQL technologies such as PostgreSQL and MariaDB.
– Experience with Time Series Database such as OpenTSDB.
– Experience with containerization technologies such as Docker.
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