The Software Engineer will be supporting the development of a novel knowledge management and data services system hosted on the cloud to enable search and discovery, as well as improve collaboration across the organization. The system will be leveraging machine language to discover content that would otherwise be missed via Boolean and incorporating artificial intelligence to do predictive analysis and make recommendations based on historical data. WORK REQUIREMENTS
The Software Engineer will participate in all Lean Agile scrums, sprints and grooming sessions. The Software Engineer will manage the progress of Commercial-Off-The-Shelf (COTS) product integration and development efforts. The Software Engineer will ensure tasks are completed on schedule.
The Software Engineer will consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification. The Software Engineer will understand the cloud environments, such as AWS or Azure. REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated hands-on experience developing Applications using the following technologies or something similar: SOLR, Elastic, Postgres, Java, Scala, RDS or spring boot.
• Demonstrated hands-on experience working with relational and non-relational database systems such as Amazon RDS, DynamoDB, and Postgres.
• Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL.
• Demonstrated hands-on experience developing JUnit and Jasmine tests.
• Demonstrated experience with testing platforms such as Jest or Karma.
• Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus
• Demonstrated recent experience with the customer suite of applications providing repository and search services that enables customer to find the information they need.
• Demonstrated recent experience with customer profile and alerting services that represents a "prospective search" tool that sifts through incoming stream looking for items that match a user’s profile and alerts upon match.
• Demonstrated recent experience with the customer’s discovery and recommendation services that allows a user to discover data they wouldn’t ordinarily know about and represents an information filtering system that leverages content-based approaches to discriminate between interesting and uninteresting items for a user.
• Experience with the customer’s Pre-NLP processing pipeline and or removing boilerplate text, portion marks and non-narrative content is preferred, but not required