Cloud Software Engineer
On-sitePotomac, Maryland, United States
Job Summary
Develop complex Big-Data Cloud systems by implementing Java applications, distributed computing, and information retrieval solutions. Conduct full-stage back-end processing, analyzing, and indexing while reviewing and testing software components for design adherence. Resolve software problem reports and provide input on hardware/software trade-offs, COTS/GOTS usage, and requirements synthesis. Architect Cloud Computing solutions and manage multi-node installations using technologies like Hadoop, MapReduce, and HDFS. Debug distributed computing frameworks and ensure quality control of developed software. Requires twelve years of software engineering experience, a Bachelor's degree in Computer Science, and active TS/SCI clearance with Full Scope Polygraph.
Required Qualifications
- U.S. Citizenship
- active TS/SCI security clearance with Full Scope Polygraph
- Twelve (12) years experience software engineering experience in programs and contracts of similar scope, type, and complexity
- Bachelors degree in Computer Science or related discipline from an accredited college or university
- four (4) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing
- Four (4) years of cloud software engineering experience on projects with similar Big-Data systems
- Two (2) years of Cloud and/or 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
- One (1) year of experience in architecting Cloud Computing solutions
- One (1) year of experience in debugging problems with Cloud based Distributed Computing Frameworks
- One (1) year of experience in managing multi-node Cloud based installation
- 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
- 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)
- Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services
- 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
- 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 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
- CentOS, Linux/RedHat
- Configuration management tools such as Subversion, ClearQuest, or Razor
Desired Qualifications
- Cloudera Certified Hadoop Developer certification
- Master in Computer Science or related discipline from an accredited college or university
- 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
- Serve as a subject matter expert for Cloud Computing and corresponding technologies including Hadoop
- assisting the software development team in designing, developing and testing Cloud Computing Systems
- Debug problems with Cloud based Distributed Computing Frameworks
- Manage multi-node Cloud based installation
- Delegate programming and testing responsibilities to one or more teams and monitor their performance
- Select the software development process in coordination with the customer and system engineering
- Recommend new technologies and processes for complex cloud software projects
- Ensure quality control of all developed and modified software
- Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data
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