Cloud Software Engineer (With TS/SCI clearance and active full scope Polygraph)

J&T Business Consulting•Annapolis, MD

About The Position

We are seeking a Cloud Software Engineer with an active TS/SCI clearance and full scope polygraph. This role requires extensive experience in software engineering, particularly with Big-Data Cloud technologies and Distributed Computing. The engineer will be responsible for designing, developing, and implementing cloud-based solutions, ensuring information assurance, and working with SIGINT data.

Requirements

Eight (8) years of experience in software engineering.
Two (2) years of experience in programs utilizing Big-Data Cloud technologies and/or Distributed Computing.
Bachelors degree in Computer Science or a related discipline.
Two (2) years of Cloud and Distributed Computing Information Retrieval (IR) experience.
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.
Experience with Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes.
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.
Experience with 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.
Experience with 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.
Experience with Ingesting, Parsing, and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro, and related technologies.
Experience with Aspect-Oriented Design and Development.
Experience with Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications.
Experience with UNIX/LINUX, CentOS.
Experience with SIGINT: Experience with at least one SIGINT collection discipline area (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT).
Experience with SIGINT: Geolocation, emitter identification, and signal applications.
Experience with SIGINT: Joint program collection platforms and dataflow architectures; signals characterization analysis.
Experience with Other: CentOS and Linux/RedHat.
Experience with Other: 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.

Nice To Haves

Cloudera Certified Hadoop Developer certification.
Experience with Python, CFEngine, Bash, Ruby, or related technologies.
Experience with VMWare or VirtualBox.

Responsibilities

Design, develop, and implement cloud-based software solutions.
Utilize Big-Data Cloud technologies and Distributed Computing principles.
Implement code that interacts with Cloud Big Table and 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 JVM memory management.
Work with SIGINT collection discipline areas, geolocation, emitter identification, and signal applications.
Utilize joint program collection platforms and dataflow architectures.
Perform signals characterization analysis.