Application Developer- Java

ClearanceJobs Workforce Solutions
Herndon, VA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Microsoft Windows Agile Methodology Artificial Intelligence Business Analytics Applications JIRA Automation of Tests Big Data Cloud Computing Configuration Management Databases Information Systems Continuous Integration
+35 more
Database Development Software Debugging Linux Geospatial Intelligence Java Web Services Python (Programming Language) PostgreSQL Machine Learning MongoDB MySQL Oracle (Applications) Scrum Methodology Scaled Agile Framework Software Construction Software Engineering Software Requirements Analysis Software Systems PL-SQL SQL Databases Apache Zookeeper Java Application Server Enterprise Software Applications Cloud Platform System DevOps Tools - Open-source Software Troubleshooting Git AngularJS Git Flow Information Technology Apache Kafka Free and Open-Source Software Data Pipelines Devsecops Docker Jenkins

Job description

We are seeking an Application Developer to support a mission-critical GEOINT enterprise application responsible for managing and processing geospatial intelligence requirements across the federal government. This role will support the sustainment, modernization, and enhancement of a complex software environment operating within a DevSecOps and Agile framework., As an Application Developer, you will be a member of an Agile Scrum team responsible for developing, maintaining, and enhancing enterprise-level software solutions that support critical intelligence operations. The ideal candidate will have experience with Java development, software engineering best practices, and modern DevSecOps technologies in a fast-paced mission environment., Participate in Agile software development activities including sprint planning, backlog refinement, daily standups, reviews, and retrospectives. Design, develop, test, debug, document, and maintain software solutions supporting mission-critical applications. Develop, modify, and troubleshoot Java-based applications and services. Analyze system requirements and translate mission needs into technical solutions. Troubleshoot software defects and resolve complex technical issues across multiple environments. Support application deployments, integrations, and system enhancements. Apply established software engineering standards, processes, procedures, and tools throughout the development lifecycle. Collaborate with developers, system administrators, architects, cybersecurity personnel, and stakeholders to ensure operational stability and mission success. Develop and maintain technical documentation. Support continuous integration, automated testing, and DevSecOps initiatives.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline. Experience developing, modifying, and troubleshooting Java applications. Experience working in Linux and Windows operating environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to learn and implement new technologies in a dynamic environment. Experience working in Agile software development environments. Active TS/SCI security clearance. U.S. Citizenship required. Preferred Qualifications Experience supporting large-scale software development programs. Experience with DevSecOps tools and technologies including: Docker Kubernetes Jenkins Git Jira Chef Kafka/Zookeeper Consul CMDB Experience with Commercial Off-The-Shelf (COTS) and Open-Source Software (FOSS) integration and support. Experience with Scaled Agile Framework (SAFe) methodologies and tools. Familiarity with cloud-based infrastructure and cloud-native development. Experience with Angular, SQL, Oracle, automated testing, and GitOps pipelines. Experience with database development, including: Oracle PostgreSQL MongoDB MySQL SQL/PL-SQL Experience with Python development. Knowledge of big data technologies, analytics platforms, and data ingestion pipelines. Exposure to AI/Machine Learning technologies and applications. Strong verbal and written communication skills. Proven ability to work effectively in a collaborative team environment.

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