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# IT - Test Analyst | Automated Testing | Test automation framework design

- **Company:** Cloudspace LLC
- **Location:** Cincinnati, OH, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $117,000.0 - $157,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Automation of Tests, Continuous Integration, Github, Software Tools, Software Engineering, Software Testing Automation Framework, Test Case, Test Data, Strategies of Testing, Openapi, Postman, GitHub Copilot, Large Language Models, Backend, Front End Software Development, Virtual Agents, Teamcity, Restful APIs, Selenium Webdriver, SDET, Jenkins, Programming Languages
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/jobad/usa3b09ac680eb80e929140d830370f96f

## About the Role

Please provide the TOP skills, and the years of experience that you ll consider:
Minimum of five years of experience in Software Development Engineer in Test (SDET) role
Strong understanding of and ability to develop code in JavaScript or with any programming languages
Minimum of three years of experience using test automation frameworks and tools such as TestCafe, Selenium WebDriver, Postman, Karate, or similar platforms
Strong experience testing RESTful API contracts is required
Experience with both backend and frontend (UX) testing
Experience with CI/CD tools and automation workflows, including Postman with Newman, GitHub Actions, Jenkins, TeamCity, or similar tools
Experience with AI-assisted software engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve test design, authoring, and engineering productivity
Familiarity with testing strategies for agentic AI, LLM-integrated applications, and other non-deterministic systems
Understanding of validation techniques for AI-driven applications, including scenario-based testing, behavior-based verification, evaluation frameworks, and safety/guardrail testing
Experience working on Agile teams is required
Any additional information you would like to share about the project specs/nature of work:
This role requires the ability to effectively leverage modern AI-assisted engineering tools, such as Claude Code and similar platforms, to accelerate test authoring, use case generation, test data design, and exploratory testing workflows.
The ideal candidate will apply these tools thoughtfully and responsibly, using strong engineering judgment to validate outputs and improve overall test effectiveness and delivery speed., Project Code :MX Core 2026 SOW

## Description

Looking for an SDET engineer with a strong API automation background and exposure to Agentic AI who can:
Create and maintain automated test cases, execute test suites, review and diagnose reported defects, and ensure overall system quality prior to customer release
Design, develop, maintain, and troubleshoot automated test suites integrated into continuous integration pipelines to provide fast, actionable quality feedback
Create and enhance automated tests to be executed continuously throughout the development cycle
Design test plans, scenarios, and automated scripts to accurately validate functionality against business requirements, feature descriptions, and acceptance criteria
Design test plans, scenarios, and automated scripts that validate API specifications and ensure compliance with organizational API standards and style guides
Leverage AI-assisted development tools such as Claude Code and similar solutions to support test case generation, use case development, test automation design, and QA workflow acceleration
Review, validate, and refine AI-generated test assets to ensure quality, accuracy, maintainability, and alignment with engineering standards
Contribute to validation approaches for AI-enabled and agentic systems, including multi-step autonomous workflows, tool-using agents, and LLM-driven service behaviors
Support quality practices for emerging AI use cases, including response evaluation, failure mode analysis, hallucination and grounding checks, and system behavior validation where deterministic outputs may not always apply


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