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# DevOps Test Automation Engineer

- **Company:** Conch Technologies
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Amazon Web Services, Systems Engineering, Automation of Tests, Cloud Computing, Linux, DevOps, Python (Programming Language), Windows PowerShell, Reliability Engineering, Ansible, Selenium, Shell Script, Software Deployment, Postman, Delivery Pipeline, Service Stack, Jenkins
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/baca15f4-a557-4871-a27c-93bd8311932c/devops-test-automation-engineer

## About the Role

* 5+ years of experience in DevOps, SRE, test automation, systems engineering, cloud operations, platform engineering, or a related technical role.
 * Experience building automated validation for enterprise-scale or production environments.
 * Integrate automated smoke tests, health checks, service checks, API checks, infrastructure checks, and environment validation into Jenkins and other deployment workflows.
 * Create automation to verify Windows and Linux patching, AWS changes, Ansible automation, configuration updates, infrastructure-as-code deployments, and service dependency changes
 * Use Python, PowerShell, Shell scripting, Ansible, Jenkins pipelines, Selenium or equivalent frameworks, API testing tools, and custom harnesses to reduce manual testing.
 * AWS, DevOps, SRE, testing, automation, or cloud certifications are a plus.

## Description

* This is not a traditional QA role. It is an engineering role focused on DevOps, SRE, test automation, reliability, infrastructure validation, observability, and safe change delivery.
 * This person will build, enhance, and operate automated validation capabilities that test the full technology stack after patching, code releases, configuration updates, infrastructure changes, and platform deployments
 * You will embed automated post-deployment testing into CI/CD pipelines so teams get fast, reliable feedback after changes are deployed.