Cloud Software Engineer, Level 2

Avalore is seeking a Cloud Software Engineer. 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.

• 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 Map Reduce 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

• 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 bachelor’s 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.
• Clearance: Active TS/SCI with an appropriatecurrentpolygraphis required tobe considered for this role;
  Ability toreceive privileged access rights.

• The following Cloud related experiences are required:
• 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 Map Reduce analytics.
• One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Three (3) years experience in Utility Computing, Network Management, Virtualization (VMWare or Virtual Box), Cloud Computing
  2. Multi Node Management and Installation:
  Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• Three (3) years experience in
  • 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) 1. 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, Map Reduce, 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,…