About The Position

This role requires a Cloud Software Engineer with an active TS/SCI clearance and full scope polygraph. The position involves working with Big-Data Cloud technologies and Distributed Computing. Experience in software engineering, cloud technologies, and SIGINT is essential.

Requirements

  • Eight (8) years of experience in software engineering in programs and contracts of similar scope, type, and complexity.
  • Two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing.
  • Bachelors degree in Computer Science or a related discipline from an accredited college or university.
  • Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor's degree.
  • Master's in Computer Science or a related discipline from an accredited college or university may be substituted for two (2) years of experience.
  • Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
  • Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
  • One (1) year of experience with implementing code that interacts with the implementation of Cloud Big Table.
  • One (1) year of experience with implementing code that interacts with the implementation of Cloud Distributed File System.
  • One (1) year of experience in implementing complex MapReduce analytics.
  • One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
  • Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing.
  • Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby, or related technologies.
  • Experience with Information Assurance: Securing Cloud-Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate, and Server Authentication with experience in Corporate authentication service(s).
  • Experience with Information Technology: Object-Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
  • Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, Concurrent Programming, Multi-Node implementation/installation, and other applicable technologies.
  • Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB.
  • Ingesting, Parsing, and Analysis of Disparate Data -sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro, and related technologies.
  • Aspect-Oriented Design and Development.
  • Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications.
  • UNIX/LINUX, CentOS.
  • Experience with SIGINT: Experience with at least one SIGINT collection discipline area (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT).
  • Geolocation, emitter identification, and signal applications.
  • Joint program collection platforms and dataflow architectures; signals characterization analysis.
  • Experience with Other: CentOS and Linux/RedHat.
  • Configuration management tools such as Subversion, ClearQuest, or Razor.
  • Experience with at least a subset of the following: DevOps, Elastic Search, NiFi, Python, Java/Spring Boot, Angular.
  • Active TS/SCI security clearance with a current polygraph is required.

Responsibilities

  • Implement code that interacts with the implementation of Cloud Big Table.
  • Implement code that interacts with the implementation of Cloud Distributed File System.
  • Implement complex MapReduce analytics.
  • Implement code that interacts with Cloud Distributed Coordination Frameworks.
  • Manage and install Cloud and Distributed Computing on multiple nodes.
  • Secure Cloud-Based and Distributed applications using industry standard techniques.
  • Ingest, parse, and analyze disparate data sources and formats.
  • Debug and profile Cloud and Distributed Installations, including Java Virtual Machine (JVM) memory management and profiling Java Applications.
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