About this opportunity
Benz Technology lists this Senior Full Stack Software Engineer opportunity in fort meade, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Active TS/SCI security clearance required. Benz Technology is unable to sponsor clearances. U.S. citizenship required.
About the Role
We’re looking for a Senior Software Engineer to design, develop, and deploy end-to-end applications that deliver direct operational impact to analyst workflows. You’ll work closely with mission stakeholders, data scientists, and analysts to capture requirements and build solutions across the full stack — from user-facing interfaces to back-end services and cloud-based data pipelines.
Responsibilities
Build and maintain user-facing applications that integrate front-end UI with back-end services to support analyst workflows
Develop and maintain RESTful APIs for mission data access and processing
Incorporate data visualizations to surface actionable insights for analysts
Establish and manage CI/CD pipelines for secure, reliable application deployment
Work within cloud environments and customer-specific data repositories to deliver end-to-end solutions
Collaborate directly with stakeholders, data scientists, and analysts to capture and translate requirements into working software
Support integration with mission tools including XKS, GM, LABBENCH, PRESSUREWAVE, and Elasticsearch
Required Qualifications
Proficiency in Python, PySpark, Java, and JavaScript
Experience with Elasticsearch and Git-based version control workflows
Hands-on experience with mission data repositories and corporate tooling (XKS, GM, LABBENCH, PRESSUREWAVE)
Ability to build full-stack applications spanning UI development through back-end API integration
Experience establishing CI/CD pipelines for application deployment
Desired Qualifications
Docker and Kubernetes for containerized deployments
Database query development and optimization
Familiarity with the intelligence collection cycle
Experience with Data Science, Machine Learning (ML), or Artificial Intelligence (AI) workflows
Exposure to Large Language Models (LLMs) and applied AI tooling
Full software development lifecycle experience: requirements analysis, design, implementation, testing, integration, and maintenance
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.