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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QA Automation Engineer II - **Company:** Reputation.com - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Software as a Service, Code Coverage, Software Quality, Continuous Integration, Distributed Systems, Python (Programming Language), Software Architecture, Selenium, Software Engineering, Software Quality Assurance (SQA), Systems Integration, TypeScript, Web Applications, Cloud Platform System, Spring Cloud, GitHub Copilot, Large Language Models, Prompt Engineering, Cypress (Programming Language), Generative AI, Pytest, AI Platforms, Playwright, Machine Learning Operations, Virtual Agents, GPT, Microservices - **Published:** September 26, 2026 - **Apply:** https://reputation.wd1.myworkdayjobs.com/External/job/Remote-US/QA-Automation-Engineer-II_JR101713 ## About the Role * 4-7 years of experience in software quality assurance, automation testing, or quality engineering. * Experience developing and maintaining automated test suites and automation frameworks. * Strong software development background with proficiency in one or more of: + Python + Java + JavaScript/TypeScript + Go * Proven experience with automation technologies such as: + Playwright + Selenium + Cypress + PyTest + Robot Framework (preferred) * Working knowledge of: + Software architecture + Distributed systems + Microservices + Cloud-native applications + Agile development methodologies + CI/CD practices * Experience testing APIs, integrations, and large-scale SaaS platforms. * Familiarity with cloud environments including AWS, GCP, or Azure. * Exposure to Generative AI tools (such as ChatGPT, GitHub Copilot, Claude, or similar) and an interest in applying AI to software testing. Preferred Qualifications * Exposure to Large Language Models (LLMs) and AI-assisted development tools. * Basic understanding of prompt engineering and an interest in AI-enabled testing. * Familiarity with: + OpenAI + Anthropic + LangChain + LangGraph + CrewAI + AutoGen + MCP (Model Context Protocol) * Experience working with agentic AI frameworks or AI-assisted development tools. * Knowledge of AI model evaluation and testing methodologies. * Experience with RAG architectures and vector databases. * Understanding of MLOps and AI platform operations. * Experience developing synthetic user simulation or digital customer journey testing systems. ## Description * Develop and maintain automated tests for web applications, APIs, integrations, and other platform components. * Contribute to AI-assisted testing initiatives that improve test creation, execution, and maintenance. * Build automated customer journey tests that validate critical user workflows. * Enhance existing automation frameworks to improve reliability, maintainability, and test coverage. * Participate in regression, functional, integration, and end-to-end testing efforts. * Integrate automated tests into CI/CD pipelines. * Assist with testing AI-powered product capabilities, including validating application behavior and outputs. * Analyze automation results, troubleshoot failures, and collaborate with engineers to resolve defects. * Identify improvements to automation practices and testing efficiency. * Stay current on emerging automation and AI testing technologies and apply relevant best practices to your work., The ideal candidate is a collaborative automation engineer who develops reliable automated tests, contributes to AI-assisted quality initiatives, and partners with engineering teams to improve software quality and release confidence. Within the first year: * Expand automated test coverage for critical customer workflows. * Improve the reliability and maintainability of automated test suites. * Contribute to AI-assisted testing initiatives that improve testing efficiency. * Reduce manual regression effort through automation. * Identify defects earlier in the development lifecycle to improve product quality. ## Related Videos - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Proactive monitoring and smoke testing in your production environment](https://www.wearedevelopers.com/videos/139-proactive-monitoring-and-smoke-testing-in-your-production-environment) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) - [Are Classical Automation Frameworks Dead? How AI Agents Are Transforming QA](https://www.wearedevelopers.com/videos/100243-are-classical-automation-frameworks-dead-how-ai-agents-are-transforming-qa) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## Related Articles - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)