Senior QA Automation Engineer with Automation DevOps (Remote)
Senior QA Automation Engineer at LegalMatch (legal tech) who designs and maintains scalable automated test frameworks with Cypress and Playwright, embeds testing into CI/CD pipelines, and uses AI tools like Claude and OpenAI to speed up testing, diagnose failures, and improve release quality. Remote role based in Cebu City, Philippines.
- Compensation
- Not disclosed
- Location
- Cebu City, Philippines
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Expertise architecting scalable, reusable QA automation frameworks with Cypress and Playwright for web and mobile
- Experience with DevOps, CI/CD pipelines, automated build processes, and test environment management in Agile environments
- Hands-on experience using AI tools (Claude, OpenAI Codex, OpenAI APIs) for test automation and engineering productivity
- Expertise in automation strategy, regression testing, integration testing, and test data management
- Strong analytical and problem-solving skills using quality and performance metrics
- Experience collaborating cross-functionally, reviewing automation code, and communicating with technical and business stakeholders
Nice to have
- Proactive, outcome-oriented problem-solver who works effectively under pressure
- Passionate about continuous improvement of processes and systems
Full description
As a Senior QA Automation Engineer (Automation DevOps), you will play a critical role in ensuring the quality, reliability, and performance of LegalMatch's products by embedding quality throughout the software development lifecycle. Working closely with Engineering, DevOps, Product, and Business teams, you will design and maintain scalable automation frameworks, integrate quality into CI/CD pipelines, and leverage AI-powered tools to accelerate testing, improve developer feedback, and optimize release efficiency. You will also help drive continuous improvements in quality engineering practices, enabling faster and more reliable software delivery.
- Design, develop, maintain, and optimize automated test frameworks and regression suites using , Cypress, Playwright, and related automation technologies.
- Create test strategies, plans, manual and automated test cases, and test data to validate software functionality, performance, and reliability.
- Collaborate with Engineering and DevOps teams to integrate automated testing into CI/CD pipelines, automate test environments, and accelerate release readiness.
- Leverage AI tools such as Claude, OpenAI Codex, and OpenAI APIs to develop, maintain, and improve automated test scripts, reusable assets, and QA workflows.
- Use AI and data-driven analysis to identify flaky tests, diagnose CI/CD failures, automate root cause analysis, and optimize pipeline performance.
- Monitor automated builds, regression suites, and deployment pipelines to identify risks and resolve quality issues proactively.
- Partner with Product, Engineering, and Business teams to understand requirements, assess risks, and ensure software quality throughout development.
- Review automation code, mentor QA engineers, and improve testing frameworks, tools, and Quality Engineering practices.
- Drive continuous improvement by leveraging automation, AI, and quality metrics to enhance engineering efficiency and software quality.
- Evaluate and implement new automation technologies, AI capabilities, and engineering tools to improve testing effectiveness and delivery speed.
- Strong expertise in architecting and building scalable, reusable QA automation frameworks using Cypress, and Playwright, supporting both web and mobile applications.
- Proven experience with DevOps, CI/CD pipelines, automated build processes, and test environment management in Agile development environments.
- Hands-on experience using AI tools (e.g., Claude, OpenAI Codex, OpenAI APIs) to enhance test automation, engineering productivity, and software quality.
- Solid expertise in automation strategy, regression testing, integration testing, test data management, and scalable quality engineering practices.
- Strong analytical and problem-solving skills with the ability to identify risks, improve engineering processes, and validate solutions using quality and performance metrics.