DevOps Engineer

Practical experience the candidate easily demonstrate and teach in areas like EKS, scripting languages, server administration, various command line tools, and multi-server environments.

Planning, conducting, and coordinating agile software development activities.

Designing, developing, documenting, testing, and debugging software that contains logical and mathematical solutions to critical mission issues.

Applying the appropriate standards, processes, procedures, and tools throughout the development life cycle.

Applying knowledge of computer hardware and software, subject matter to be programmed in business/mission applications, information processing techniques used, and information gathered from system users to develop software.

Correcting program errors, compiling documentation of program development, and analyzing system capabilities to resolve questions of program intent, output requirements, input data acquisition, programming techniques, and controls.

Ensuring software standards are defined and met

Java development experience

Proven experience with Kubernetes

Ability to troubleshoot and navigate multiple operating system environments including LINUX/Windows

Ability to be flexible in supporting dynamic user needs

Strong troubleshooting skills

Proven experience in COTS/FOSS integration and support

Ability to learn and implement new technologies

Applicant selected must possess, at minimum, a current TS clearance (with a current background investigation). Applicant will need to complete a crossover to the NGA customer and be briefed before starting on program.

Large scale software development experience: develop/modify/troubleshoot JAVA code, COTS Integration, Agile development experience, familiarity with Scaled Agile Framework (SAFe) using VersionOne, Angular, DOJO, Oracle Weblogic, Tomcat, Oracle DBMS, Postgres DBMS, SQL, PL/SQL, UNIX/LINUX operating Systems, HTML, Selenium, JavaScript, EJB, Webservices, Microservices leveraging Docker & Kubernetes, REST, XML, UML, Eclipse or Netbeans, Deployment architectures including

Continuous Integration Pipeline build concepts leveraging: Docker, Git / JIRA, Kubernetes, Jenkins, Conductor, Kafka/Zookeeper, Consul, CMDB. Big data technologies to include: Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef