
51 - 200 employees
Founded 1999
⚖️ Legal
🏪 Marketplace
Legal • Marketplace
LegalMatch is an online attorney-client matching and lawyer referral platform that helps individuals and businesses find licensed, local attorneys for specific legal issues. Users post a case for free and receive responses from pre-screened lawyers who provide profiles, fee information, and client ratings; attorneys can join to receive leads and market their practice. The service includes an extensive online law library, serves clients in the U. S. and Canada, and has facilitated millions of posted cases over its multi-decade operation.
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51 - 200 employees
Founded 1999
⚖️ Legal
🏪 Marketplace
Legal • Marketplace
LegalMatch is an online attorney-client matching and lawyer referral platform that helps individuals and businesses find licensed, local attorneys for specific legal issues. Users post a case for free and receive responses from pre-screened lawyers who provide profiles, fee information, and client ratings; attorneys can join to receive leads and market their practice. The service includes an extensive online law library, serves clients in the U. S. and Canada, and has facilitated millions of posted cases over its multi-decade operation.
• Ensure the quality, reliability, and performance of LegalMatch's legal-tech products throughout the software development lifecycle • Design and maintain scalable automation frameworks and regression suites • Integrate quality and automated testing into CI/CD pipelines • Leverage AI-powered tools to accelerate testing and improve developer feedback • 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 and proactively resolve quality issues • Collaborate with Engineering, DevOps, Product, and Business teams to assess risks and ensure software quality • Review automation code, mentor QA engineers, and improve testing frameworks and Quality Engineering practices • Drive continuous improvement and evaluate new automation technologies and engineering tools
• Strong expertise architecting and building scalable, reusable QA automation frameworks using Cypress and Playwright for web and mobile applications • Proven experience with DevOps, CI/CD pipelines, automated build processes, and test environment management in Agile environments • Hands-on experience with AI tools such as Claude, OpenAI Codex, and OpenAI APIs • Expertise in automation strategy, regression testing, integration testing, test data management, and scalable quality engineering practices • Strong analytical and problem-solving skills • Experience collaborating with cross-functional teams, reviewing automation code, driving continuous improvement, and communicating with technical and business stakeholders • Proactive, outcome-oriented, and able to work effectively under pressure • Passion for continuous improvement
• Dynamic and innovative environment • Opportunity to grow and make a real impact in legal tech • Collaboration with passionate individuals
Apply Now🕒 2 days ago
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