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

- **Company:** J&T Business Consulting
- **Location:** Annapolis, MD, United States
- **Salary:** $199,000.0 - $238,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Data Analysis, Big Data, BigTable, Unix, CentOS, Cloud Computing, Apache Lucene, Software Documentation, Code Reuse, Computer Programming, Concurrent Computing, Data Stores, Software Debugging, Distributed File Systems, Distributed Computing Environment, Distributed Systems, Memory Management, Eclipse (Software), Java Platform Enterprise Edition (J2EE), Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache HBase, IBM Rational Clearquest, Information Retrieval, Java Message Service (JMS), Java Virtual Machine (JVM), JSON, Apache Maven, MongoDB, Object-Oriented Software Development, Parsing, Red Hat Enterprise Linux, Cloudera, Software Engineering, Apache Solr, Subversion, Extensible Markup Language (XML), Apache Zookeeper, Data Processing, Computer Network Operations, Cloud Platform System, Apache Yarn, Indexer, Infrastructure Automation Frameworks, Bug Reporting, Information Technology, Avro, Performance Monitor, Software Coding, Restful APIs
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1125751eab467023

## About the Role

* 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

## Description

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.
*