Cloud Engineering Virginia

Work requirementS

• The Candidate shall design and develop complex new software products and make significant enhancements to existing software.
• The Candidate shall provide ongoing maintenance, support, and enhancements in existing systems and platforms.
• The Candidate shall troubleshoot complex problems and provide customer support for software systems and application issues.
• The Candidate shall collaborate cross-functionality with data engineers, analysts, project managers, and other personnel.
• The Candidate shall provide recommendations for continuous improvement in an Agile environment.

required skills and demonstrated experience

• Demonstrated experience in Linux server administration and web application support.
• Demonstrated experience and proficiency in Java and Angular.
• Demonstrated experience in operations including using Git, Jenkins, Rundeck,Jira and Confluence.
• Demonstrated writing short Python and Bash scripts.
• Demonstrated experience with AWS Cloud solutions.
• Demonstrated experience with MySQL system administration and script development.
• Demonstrated experience in Elasticsearch administration and script development.
• Demonstrating experience writing technical documentation for security (ATO), architecture, and implementation guides.
• Demonstrated experience with the concepts of Site Reliability Engineering (SRE) demonstrated experience applying them to a successful and established program.

Highly Desired skills and demonstrated experience

• Demonstrated experience supporting the technical processing of vetting requests for analytical comparison against the USG’s holdings.  
• Demonstrated experience with computer processing platforms such as computers, mobile, or I.O.T. and using that knowledge in a clustered computing environment.
• Demonstrated experience with application and infrastructure support to an organization’s screening and vetting mission.
• Demonstrated experience in micro service architecture using Spring Framework, Spring Boot, Tomcat, AWS, Docker Container or Kubernetes solutions.
• Demonstrated experience in big data solutions (Hadoop Ecosystem, MapReduce, Pig, Hive, DataStax, etc.) in support of a screening and vetting mission.