Riverstone is seeking a motivated, career, and customer-oriented Cloud Software Engineer Level 2 to join our team at Annapolis Junction, MD. This is an onsite position.
Primary Responsibilities:
• The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements.
• Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design.
• Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports.
• Utilizes software development and software design methodologies appropriate to the development environment.
• Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.
Required Skills:
• Eight (8) years' software engineering experience in programs and contracts of similar scope, type, and complexity is required; 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 is required. Four (4) years of cloud software engineering experience on projects with similar Big- Data systems may be substituted for a bachelor's degree.
• 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 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.
• 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 - 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:
• Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT.
Desired Skills:
• Experience with 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, CF Engine, 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)
Clearance Requirement: Current/Active TS/SCI with Full Scope Polygraph
