Cloud Software Engineer III

Reflexive Concepts • Annapolis Junction, MD

3d

About The Position

Reflexive Concepts is seeking a Cloud Software Engineer III to develop, maintain, and enhance complex Big-Data Cloud systems based on documented requirements. The role contributes to all stages of back-end processing, analysis, and indexing, drawing on expertise in cloud computing, the Hadoop ecosystem, Java, distributed computing, information retrieval, and object-oriented design.

The engineer works with cloud and distributed computing technologies and information retrieval systems, and may help design, develop, test, debug, and architect cloud systems and solutions for processing and retrieving large amounts of data. The role also involves software development oversight, quality control, technology and process recommendations, and documentation improvements. Active TS/SCI clearance with a Full-Scope Polygraph is required.

Requirements

• Twelve years of software engineering experience on programs and contracts of similar scope, type, and complexity, including four years on programs utilizing Big-Data cloud technologies and/or distributed computing.
• Bachelor's degree in Computer Science or a related discipline from an accredited college or university, subject to the stated substitutions.
• Two years of Cloud and/or Distributed Computing Information Retrieval experience, plus one year each implementing code interacting with a Cloud Big Table implementation; a Cloud Distributed File System; complex MapReduce analytics; and Cloud Distributed Coordination Frameworks; architecting Cloud Computing solutions; debugging Cloud-based Distributed Computing Frameworks; and managing multi-node Cloud-based installations.
• Experience with computer network operations, including utility computing, network management, virtualization (VMware or VirtualBox), Cloud Computing, and multi-node management and installation using Python, CFEngine, Bash, Ruby, or related technologies.
• Information assurance experience securing Cloud-based and distributed applications using industry-standard techniques such as firewalls, PKI certificates, and server authentication, including experience with corporate authentication services.
• Experience with object-oriented design and programming, Java, Eclipse or a similar development environment, Maven, RESTful web services, aspect-oriented design and development, and UNIX/Linux (CentOS).
• Experience with Cloud and Distributed Computing technologies, including one or more of YARN, J2EE, MapReduce, ZooKeeper, HDFS, HBase, JMS, concurrent programming, and multi-node implementation or installation.
• Experience with Cloud and Distributed Computing Information Retrieval technologies, including one or more of HDFS, HBase, Apache Lucene, Apache Solr, and MongoDB.
• Experience ingesting, parsing, and analyzing disparate data sources and formats, including XML, JSON, CSV, binary formats, Sequence or Map files, Avro, and related technologies.
• Experience debugging and profiling Cloud and Distributed installations, including JVM memory management and profiling Java applications.
• SIGINT experience in at least one collection discipline (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, or ELINT), and experience with geolocation, emitter identification and signal applications, joint program collection platforms and dataflow architectures, and signals characterization analysis.
• Experience with CentOS, Linux/Red Hat, and configuration management tools such as Subversion, ClearQuest, or Razor.
• Active TS/SCI with Full-Scope Polygraph.
• Experience with AWS and DevOps.

Nice To Haves

• Java or front-end experience with Angular or TypeScript; legacy AngularJS is excluded.
• In-depth Information Retrieval knowledge.
• Experience serving as a subject matter expert for Cloud Computing and Hadoop.

Responsibilities

• Develop, maintain, and enhance complex Big-Data Cloud systems based on documented requirements.
• Contribute to back-end processing, analyzing, and indexing.
• Assist with designing, developing, and testing Cloud Information Retrieval systems and Cloud Computing systems.
• Implement workflows for Cloud MapReduce analytics and code that interacts with Cloud Distributed Coordination Frameworks.
• Debug Cloud-based Distributed Computing Frameworks and manage multi-node Cloud installations.
• Architect solutions to complex Cloud software engineering problems, including efficient processing and retrieval of large amounts of data.
• Oversee software development tasks, delegate programming and testing to teams, and select development processes with the customer and systems engineering.
• Recommend new technologies and processes, ensure quality control of developed software, and improve documentation and process standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior