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J&T Business Consulting is seeking a Cloud Software Engineer with TS/SCI clearance to design, implement, test, and optimize complex Big-Data Cloud systems. You will contribute to backend processing, indexing, and cloud-based infrastructure using Hadoop ecosystem technologies, Java, and distributed computing.
The role requires extensive experience and active clearance. The ideal candidate has strong expertise in cloud IR, MapReduce analytics, and multi-node cloud deployments, with a focus on
Annapolis, United States | Posted on 10/16/2026
Location: Annapolis Junction, MD, US, 20701
Job Category: Software Engineering
Employment Type: Full-Time
Security Clearance Required: Active TS/SCI with a current polygraph
The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements . You will directly contribute to all stages of back-end processing, analyzing, and indexing, and provide expertise in Cloud Computing, the Hadoop Eco-System, Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design .
Work individually or as part of a team to review and test software components for adherence to design requirements, document test results, and resolve software problem reports .
Utilize software development and design methodologies appropriate for the development environment .
Provide specific input to system design components, including hardware/software trade-offs, software reuse, COTS/GOTS integration, and requirements analysis/synthesis from system level down to individual software components .
Experience: Twelve (12) years of experience in software engineering programs and contracts of similar scope, type, and complexity .
Education: A Bachelor's degree in Computer Science or a related discipline from an accredited college or university .
Note: Four (4) years of experience in programs utilizing Big-Data cloud technologies and/or Distributed Computing may be substituted for a bachelor’s degree . Alternatively, a Master’s degree in Computer Science or a related discipline may be substituted for two (2) years of experience . A Cloudera Certified Hadoop Developer certification can substitute for one (1) year of Cloud experience .
Big-Data & Cloud Experience: Four (4) years must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing . Specific cloud-related experience must include:
Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR) .
One (1) year of implementing code that interacts with Cloud Big Table, Cloud Distributed File System, and Cloud Distributed Coordination Frameworks .
One (1) year of implementing complex MapReduce analytics .
One (1) year of architecting Cloud Computing solutions .
One (1) year of debugging problems with Cloud-based Distributed Computing Frameworks .
One (1) year of managing multi-node Cloud-based installations .
Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing, and multi-node management/installation using Python, CFEngine, Bash, Ruby, or related technologies .
Information Assurance: Securing cloud-based and distributed applications through standard techniques (Firewalls, PKI Certificates, Server Authentication) alongside corporate authentication service experience .
Information Technology:
Object-Oriented Design and Programming, Java, Eclipse (or similar), Maven, and RESTful web services .
Cloud/Distributed computing tech (YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, concurrent programming) .
Information retrieval components (HDFS, HBase, Apache Lucene, Apache Solr, MongoDB) .
Data ingestion, parsing, and analysis of disparate sources/formats (XML, JSON, CSV, binary formats, sequence/map files, Avro) .
Aspect-Oriented Design and Development, JVM memory management, and application profiling .
UNIX/LINUX and CentOS .
SIGINT Experience: Background in at least one SIGINT collection discipline (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, ELINT), geolocation, emitter identification, signal applications, joint collection platforms, dataflow architectures, and signal characterization analysis .
Other Requirements: CentOS, Linux/RedHat, and configuration management tools (Subversion, ClearQuest, Razor) .
Provide in-depth Information Retrieval knowledge to assist teams in designing, developing, and testing cloud IR systems .
Implement complex workflows managing Cloud MapReduce analytics and interact with Cloud Distributed Coordination Frameworks .
Oversee software development tasks, ensure process adherence, and make recommendations for process and documentation standard improvements .
Serve as a subject matter expert for Cloud Computing and Hadoop technologies .
Delegate programming/testing responsibilities, monitor performance, and select development processes alongside customers and system engineering .
Recommend new technologies/processes and ensure overall quality control .
Architect solutions for complex Cloud Software Engineering problems (e.g., efficient processing/retrieval of large-scale data) .
Target Salary Range: $203,000 – $230,000 (Estimated base compensation determined by experience, geographic location, education, specific role responsibilities, and contractual requirements) .
Health, Dental, and Vision Insurance .
Basic Life Insurance and Disability Insurance .