Software Engineer
Location: Chantilly
Experience: Senior
Reference: S-2022-38146
Experience: Senior
Reference: S-2022-38146
Demonstrated experience developing detailed design and associated deliverables.
Demonstrated experience translating customer and system requirements into design.
Demonstrated experience designing system interfaces.
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
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
Demonstrated recent experience with the Sponsor’s Lean Agile methodology.
Demonstrated experience using ErDoS managing top line charts, sprint burn-up charts and sprint goals.
Demonstrated experience with Sponsor data repositories, Segmentation service, SecOps Pipeline, and Automated Sponsor JIRA Workflow.
Demonstrated recent experience with the Sponsor's suite of applications providing repository and search services that enables Sponsor to find the information they need.
Demonstrated recent experience with Sponsor’s 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 Sponsor’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.
Demonstrated experience with the Sponsor’s Pre-NLP processing pipeline to remove boilerplate text, portion marks and non-narrative content.
NOTE: The team needs a candidate that has proficiencies in Java, Web Services, and Spring Boot. In addition, skills related to cloud technologies (e.g. AWS) and Docker. Rotating pager duty required.