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Captivation Software

Platform Engineer (Hybrid) - DevOps/Full-Stack

Annapolis Junction, MD$130k–$270kmidAdded today

About this role

Captivation Software seeks a versatile Platform Engineer to deploy and operate a production system across three distinct network environments using Kubernetes. This hybrid role combines DevOps expertise with full-stack development, requiring hands-on management of containerized applications and the ability to modify Java/Spring and Vue.js components as needed.

What you'll do

  • Deploy the RAD system to three different network environments via Kubernetes with environment-specific configurations
  • Design and establish repeatable deployment processes and CI/CD pipelines for system delivery and updates
  • Modify and troubleshoot Java Spring back-end and Vue.js front-end components to support deployment requirements
  • Diagnose and resolve issues across infrastructure, middleware, and application layers during environment setup
  • Collaborate with DevOps teams, software developers, and system engineers on deployment practices and architecture alignment

What they're looking for

  • Kubernetes deployment and containerized application management
  • Java / Spring Boot development and modification
  • Vue.js front-end development
  • CI/CD pipeline design and implementation
  • Multi-environment deployment and configuration
  • Infrastructure and application troubleshooting
  • DevOps practices and automation
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Captivation Software

Captivation Software builds high-performance computing and secure analytics infrastructure for mission-critical government programs, specializing in HPC testing, enterprise dataflow architectures, and cleared defense systems. The company is hiring senior test engineers, systems engineers, and technical leaders with deep expertise in Linux, cloud infrastructure, and security clearances to validate systems and architect solutions for intelligence community operations.

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Likely interview questions

  • Describe your experience deploying and managing Kubernetes clusters across multiple network environments with different constraints.
  • Walk us through how you've designed a repeatable deployment pipeline for a complex system, and what tools and practices you used.
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