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Cloud Software Engineer II

Annapolis Junction, MD
Reflexive Concepts is seeking a skilled Cloud Software Engineer to join our team! 

Specifically, we are looking for a Cloud Software Engineer with expertise in Big Data, Hadoop Ecosystem, Java, and Distributed Computing to develop, maintain, and enhance large-scale cloud-based back-end processing, analytics, and indexing systems.

Qualifications:

  • Eight (8) years of experience as a SWE 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
  • Bachelor's degree in Computer Science or 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 in Computer Science or 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
Required Skills:
  • Experience with at least a subset of the following:
    • DevOps
    • Elasticsearch
    • NiFi
    • Python
    • Java/Spring Boot
    • Angular
  • The following Cloud-related experiences are required:
    • Two (2) years of Cloud and Distributed Computing Information Retrieval (IR)
    • One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table
    • One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System
    • One (1) year of experience with implementing complex MapReduce analytics
    • One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks
  • Experience in Computer Network Operations:
    • Utility Computing
    • Network Management
    • Virtualization (VMWare or VirtualBox)
    • Cloud Computing 2
    • Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies
  • Experience in 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 in 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 in SIGINT:
    • Experience with at least one SIGINT collection discipline areas (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, Linux/RedHat
    • Configuration management tools such as Subversion, ClearQuest, or Razor
Desired Skills:
  • Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval
  • Implement complex workflows that manage Cloud MapReduce analytics
  • Implement code that interacts with Cloud Distributed Coordination Frameworks
  • Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project
  • Make recommendations for improving documentation and software development process standards

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