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# Cloud Developer (AWS / Infrastructure as Code)

- **Company:** Linchpin Software LLC
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Software Debugging, DevOps, Python (Programming Language), Software Engineering, Scripting, Gitlab, Cloudformation, Build Management, Gitlab-ci, Kubernetes, Deployment Automation, Terraform, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9190091/cloud-developer-aws-infrastructure-as-code

## About the Role

* Active Top Secret clearance
 * 5+ years of software, cloud, or DevOps engineering experience
 * Hands-on experience with AWS
 * Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK, or similar)
 * Ability to work full-time, on-site in Washington, DC (20024)

Preferred:

 * Experience supporting production systems and resolving user-facing issues
 * Scripting in Python, Bash, or similar
 * Experience with Docker, Kubernetes, or GitLab CI
 * Curiosity about AI-assisted development

## Description

Linchpin Software is growing, and we're looking for a Cloud Developer to join a team of AWS services engineers building an automated, self-service platform for enterprise developer services. You'll turn manual, ticket-driven work into code: repeatable infrastructure, clean pipelines, and services that just work for the developers who rely on them.

We build software differently. Our engineers use AI-assisted development tools (Claude Code, Codex, GitLab Duo) every day to move faster and ship higher-quality work. If you want to sharpen that skill on a real mission system, this is the place.

What You'll Do:

 * Design and build AWS infrastructure entirely as code (Terraform, CloudFormation, or CDK)
 * Automate provisioning, onboarding, and developer workflows end to end
 * Build and improve CI/CD pipelines that deliver changes safely and quickly
 * Troubleshoot production issues and resolve user-facing problems with the team
 * Use AI-assisted tools to accelerate coding, debugging, and documentation


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