What are the responsibilities and job description for the Software Engineer position at Falls Technology?
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Software Engineering
Participate in all Lean Agile scrums, sprints and grooming sessions.
Manage the progress of Commercial-Off-The-Shelf (COTS) product integration and development efforts.
Ensure tasks are completed on schedule.
Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification.
Understand the cloud environments, such as AWS or Azure.
Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support.
Create, manage and update Jira tickets.
Design, develop and modify software systems.
Document and track vendor software roadmaps for software and patch version updates.
Unit test software and perform code reviews.
Required Skills
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
Desired Skills
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 Sponsors profile and alerting services that represents a "prospective search" tool that sifts through incoming stream looking for items that match a users profile and alerts upon match.
Demonstrated recent experience with the Sponsors discovery and recommendation services that allows a user to discover data they wouldnt 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 Sponsors Pre-NLP processing pipeline to remove boilerplate text, portion marks and non-narrative content.
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