Cloud Software Engineer 3 (TS/SCI with Full Scope Polygraph)

You’ll build, maintain and improve large, complex big-data cloud systems for a mission-focused federal program. You’ll work across the full back end, covering data processing, analytics and indexing, as a hands-on engineer and technical expert in Hadoop, distributed computing and information retrieval. You’ll work on your own and as part of a team, and help shape system design decisions from system level down to individual software components.

What you’ll do

• Design, develop and test cloud-based information retrieval and big-data processing systems, mainly in Java.
• Build and manage complex MapReduce analytics workflows.
• Write code that works with distributed file systems, BigTable-style data stores and distributed coordination frameworks.
• Architect solutions for processing and retrieving very large volumes of data efficiently.
• Debug and tune distributed computing frameworks, and install and manage multi-node cloud environments.
• Review and test software against design requirements, document results and resolve software problem reports.
• Advise on hardware/software trade-offs, software reuse, and when to use commercial or government off-the-shelf products (COTS/GOTS) instead of building new.
• Lead one or more development tasks: delegate work, monitor performance and ensure quality control of all software.
• Act as the team’s subject matter expert on Hadoop and cloud computing. Recommend new technologies, process improvements and documentation standards. *

• 12 years of software engineering on programs of similar scope and complexity, including at least 4 years on big-data cloud or distributed computing programs.
• A bachelor’s degree in Computer Science or a related field.
• 4 extra years of cloud software engineering on similar big-data systems can replace the degree.
• A master’s in Computer Science or a related field counts for 2 years of experience. Cloudera Certified Hadoop Developer certification counts for 1 year of cloud experience. +

Cloud and distributed computing (minimum experience)

• 2 years of cloud or distributed computing information retrieval.
• 1 year writing code that interacts with a cloud BigTable implementation.
• 1 year writing code that interacts with a cloud distributed file system.
• 1 year building complex MapReduce analytics.
• 1 year writing code that interacts with cloud distributed coordination frameworks.
• 1 year architecting cloud computing solutions.
• 1 year debugging cloud-based distributed computing frameworks. 1 year managing multi-node cloud installations. *

Technical skills

• Object-oriented design and programming: Java, Eclipse or a similar IDE, Maven, RESTful web services.
• Distributed technologies: YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, concurrent programming.
• Information retrieval: HDFS, HBase, Apache Lucene, Apache Solr, MongoDB.
• Ingesting and parsing varied data formats: XML, JSON, CSV, binary formats, sequence and map files, Avro.
• Aspect-oriented design and development.
• JVM memory management and Java application profiling.
• UNIX/Linux, CentOS and Red Hat. Configuration management tools such as Subversion, ClearQuest or Razor. *

Network operations