Candidates must sit in the Washington DC metro area or within in 90 mins driving time. So that would include Maryland, Virginia, and Washington DC.

Security Clearance: Active TS/SCI FS Poly is required at the time of hire or if the clearance has been inactive for less than 2 years, then we will consider them. They must complete a security verification and their start date would be pending the reactivation of their clearance.

Job Description

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.

Qualification

• Eight (8) years’ experience 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 bachelors 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.
• Cloud and Distributed Computing Information Retrieval (IR).
• 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

MUST HAVE

• Eight (8) years’ experience 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 bachelors 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.
• Cloud and Distributed Computing Information Retrieval (IR).
• 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