We are seeking experienced Cloud Software Engineers (CSWE2 and CSWE3) to design, develop, and enhance complex, Big Data Cloud systems that support mission-critical operations. These roles contribute to all stages of the software lifecycle from requirements analysis and system design to implementation, testing, and optimization within a secure government environment.
You'll bring deep expertise in Cloud Computing, Distributed Systems, and the Hadoop Ecosystem , designing back-end processing, analytics, and information retrieval solutions that enable large-scale data access and performance at speed.
Design, develop, and maintain Big Data Cloud applications and frameworks that support distributed processing, indexing, and data analysis.
Implement and optimize MapReduce workflows , Cloud BigTable interactions, and Distributed File Systems .
Provide technical expertise in Cloud Information Retrieval (IR) and data analysis methodologies.
Develop scalable Java-based applications that integrate with Cloud Coordination Frameworks and distributed environments.
Oversee software development tasks to ensure quality, process compliance, and system reliability.
Contribute to architectural decisions, system trade-offs, and COTS/GOTS integration.
Troubleshoot, debug, and profile distributed systems to enhance performance and reliability.
Recommend improvements to software documentation, development tools, and processes.
(Level 3 only) Architect solutions for large-scale cloud software problems , manage multi-node cloud installations, and lead technical teams in developing advanced distributed computing frameworks.
8+ years of software engineering experience, including 2+ years in Big Data Cloud or Distributed Computing programs.
Bachelors degree in Computer Science or related field (Masters may substitute for 2 years of experience).
Substitutions: 4 years of cloud software experience can replace a degree; Cloudera Hadoop Developer certification may replace 1 year of cloud experience.
2+ years of Cloud or Distributed Computing Information Retrieval.
1+ year with each of the following:
Cloud BigTable implementation
Cloud Distributed File Systems (HDFS or similar)
Complex MapReduce analytics
Cloud Distributed Coordination Frameworks
12+ years of software engineering experience, including 4+ years with Big Data Cloud or Distributed Computing systems.
Bachelors degree in Computer Science or related field (Masters may substitute for 2 years).
Substitutions: 4 years of relevant experience can replace a degree; Cloudera Hadoop Developer certification may replace 1 year.
All Level 2 requirements, plus:
1+ year in Cloud architecture design and multi-node system management .
1+ year debugging and optimizing distributed computing frameworks .
Demonstrated experience serving as a technical lead or subject matter expert for Cloud and Hadoop-based solutions.
Programming & Tools: Java, Eclipse, Maven, RESTful APIs, Spring MVC, J2EE, YARN, Zookeeper, HDFS, HBase, JMS, Concurrent Programming.
Data Technologies: Apache Lucene, Solr, MongoDB, MapReduce, Avro, JSON, XML, CSV, Binary, Sequence, and Map Files.
Operating Systems: Linux (CentOS, RedHat).
Virtualization & Cloud Platforms: VMware, VirtualBox, Utility Computing, Cloud Infrastructure, Multi-node Management.
Security: PKI, firewalls, authentication frameworks, Information Assurance compliance.
Configuration Management: Subversion, ClearQuest, Razor.
Debugging & Profiling: JVM memory management, Java application profiling, performance tuning.
Experience with SIGINT environments , including FORNSAT, CABLE, Terrestrial/Microwave, Overhead, or ELINT systems.
Understanding of geolocation, emitter identification , and signal dataflow architectures .
Familiarity with joint collection platforms , signal characterization , and national-level data architectures .
As a Cloud Software Engineer with our team, you'll be at the forefront of next-generation distributed systems engineering solving complex data challenges that directly support national security missions. You'll work alongside some of the best minds in cloud technology, leveraging Hadoop and cutting-edge analytics to build resilient, high-performance systems.
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