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Dark Wolf Solutions

Full Stack Developer

Chantilly, VAfull-timemidAdded today

About this role

Dark Wolf seeks an experienced Full Stack Developer to design and maintain AI-powered data solutions for defense and intelligence customers. You'll engineer scalable platforms combining LLM optimization, DevOps infrastructure, and high-performance data analytics in mission-critical environments.

What you'll do

  • Engineer and scale AI-driven platforms for data ingestion, exploration, and advanced search capabilities
  • Fine-tune and optimize Large Language Models, then validate their accuracy and performance
  • Architect CI/CD pipelines using GitHub/GitLab and automate deployment workflows
  • Deploy and manage containerized applications with Kubernetes and Docker on AWS and air-gapped environments
  • Build high-performance features using OpenSearch and Python for data-centric operations
  • Document system architectures, policies, and configuration processes; coordinate with cross-functional teams

What they're looking for

  • Full-stack development with 7+ years experience
  • Large Language Model (LLM) fine-tuning and optimization
  • CI/CD pipeline design (GitHub, GitLab)
  • Kubernetes and Docker containerization
  • AWS cloud deployment and air-gapped environment management
  • Python development
  • OpenSearch and data analytics
  • Mission-critical system design and high-availability environments
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Dark Wolf Solutions

Dark Wolf Solutions builds DevSecOps platforms, integration systems, and data analytics solutions for defense and intelligence customers, with a focus on DoD and Space Force operations. The company is hiring DevOps engineers, full-stack software engineers, systems engineers, and data engineers to support cloud infrastructure, platform development, radar systems, and mission-critical defense applications.

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Likely interview questions

  • Describe your experience optimizing and fine-tuning Large Language Models in production environments—what metrics did you use to evaluate success?
  • Walk us through a CI/CD pipeline you've architected from scratch; what tools did you use and how did you ensure reliability?
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