Job description

Reflexive Concepts is seeking a skilled Cloud Software Engineer II to join our team! The Cloud Software Engineer develops, maintains, and enhances complex Big-Data Cloud systems, contributing to all stages of back-end processing, analysis, and indexing with expertise in Cloud Computing, the Hadoop ecosystem, Java, Distributed Computing, and Information Retrieval. Qualifications: • Eight (8) years of software engineering experience on programs of similar scope, type, and complexity, two (2) of which must be on programs using Big-Data Cloud technologies and/or Distributed Computing • Bachelor's degree in Computer Science or a related discipline • Four (4) years of cloud software engineering experience on similar Big-Data systems may be substituted for the degree • A Master's degree 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 each of implementing: • Code that interacts with Cloud Big Table • Code that interacts with Cloud Distributed File System • Code that interacts with Cloud Distributed Coordination Frameworks • Complex MapReduce analytics • Computer Network Operations: utility computing, network management, virtualization (VMware or VirtualBox), cloud computing • Multi-node management and installation of Cloud and Distributed Computing (Python, CFEngine, Bash, Ruby, or related) • Information Assurance: securing Cloud and Distributed applications with firewalls, PKI certificates, and server authentication; corporate authentication services • Object-Oriented Design and Programming, Java, Eclipse or a similar IDE, Maven, RESTful web services • Cloud and Distributed Computing technologies such as YARN, J2EE, MapReduce, ZooKeeper, HDFS, HBase, JMS, concurrent programming, and multi-node implementation • Cloud Information Retrieval: HDFS, HBase, Apache Lucene, Apache Solr, MongoDB • Ingesting, parsing, and analyzing disparate data formats: XML, JSON, CSV, binary, Sequence/Map files, Avro • Aspect-Oriented Design and Development • Debugging and profiling Cloud and Distributed installations: JVM memory management, profiling Java applications • UNIX/Linux, CentOS, Red Hat • SIGINT: • At least one collection discipline (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, ELINT) • Geolocation, emitter identification, and signal applications • Joint program collection platforms and dataflow architectures; signals characterization analysis • Configuration management tools such as Subversion, ClearQuest, or Razor • Active TS/SCI with Full-Scope Polygraph Job Requirements: • Extensive full-stack JavaScript experience with Node.js • TypeScript Desired: • In-depth knowledge of Information Retrieval; assist 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 ensure the work is completed within the constraints of the project's software development process • Recommend improvements to documentation and software development process standards

Requirements

Must-haves

Reflexive Concepts is seeking a skilled Cloud Software Engineer II to join our team!
Eight (8) years of software engineering experience on programs of similar scope, type, and complexity, two (2) of which must be on programs using Big-Data Cloud technologies and/or Distributed Computing
Bachelor's degree in Computer Science or a related discipline
Four (4) years of cloud software engineering experience on similar Big-Data systems may be substituted for the degree
A Master's degree 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)
Code that interacts with Cloud Big Table
Code that interacts with Cloud Distributed File System
Code that interacts with Cloud Distributed Coordination Frameworks
Complex MapReduce analytics
Computer Network Operations: utility computing, network management, virtualization (VMware or VirtualBox), cloud computing
Multi-node management and installation of Cloud and Distributed Computing (Python, CFEngine, Bash, Ruby, or related)
Information Assurance: securing Cloud and Distributed applications with firewalls, PKI certificates, and server authentication; corporate authentication services
Object-Oriented Design and Programming, Java, Eclipse or a similar IDE, Maven, RESTful web services
Cloud and Distributed Computing technologies such as YARN, J2EE, MapReduce, ZooKeeper, HDFS, HBase, JMS, concurrent programming, and multi-node implementation
Cloud Information Retrieval: HDFS, HBase, Apache Lucene, Apache Solr, MongoDB
Ingesting, parsing, and analyzing disparate data formats: XML, JSON, CSV, binary, Sequence/Map files, Avro
Aspect-Oriented Design and Development

Nice-to-haves

In-depth knowledge of Information Retrieval; assist 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 ensure the work is completed within the constraints of the project's software development process
Recommend improvements to documentation and software development process standards

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javapythonjavascriptnode.jstypescript

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