Senior QA Automation Engineer

🕒 May 15

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Litify

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

🤖 Artificial Intelligence

💰 $50M Series A on 2019-06

Legal • SaaS • Artificial Intelligence

Litify is a leading provider of an all-in-one legal platform designed to empower law firms and in-house legal teams to achieve higher performance through standardization, analytics, and continuous improvement. Utilizing secure, cloud-based technology and innovative artificial intelligence, Litify streamlines legal operations, enhancing efficiency, case management, and document handling. The platform supports numerous legal practice areas, including personal injury, insurance defense, immigration, and claims litigation. Litify offers services like guided implementation, personalized configuration, and responsive technical support to drive lasting business improvements in the legal industry.

📋 Description

• Champion AI-first QA practices. Lead the rollout and continuous improvement of our AI Feature Testing process, where AI agents execute initial test passes and QA engineers review, validate, and extend coverage. • Review and validate AI-generated test results. Critically assess AI test outputs for accuracy, completeness, and false positives/negatives, applying your domain expertise and judgment to determine pass/fail outcomes. • Perform execution of manual test cases, targeted exploratory and edge-case testing. Focus human testing effort where it matters most: complex workflows, boundary conditions, integration points, and scenarios where AI coverage is insufficient. • Own QA strategy and execution for your squad, including test planning, risk assessment, and release readiness decisions. • Write and maintain automated tests in Playwright, following Page Object Model (POM) design patterns, and expand POM coverage to support a scalable, maintainable automation suite. • Leverage AI development tools (Claude, GitHub Copilot) as core parts of your workflow to generate test cases, write automation scripts, debug failures, and accelerate coverage growth. • Guide and train the QA team on effective AI tool usage, prompt engineering for testing, and the evolving QA review workflow. • Integrate automated tests into our Xray test management repository and maintain traceability between test cases, requirements, and defects. • Manage QA workflow in Jira. Logging and prioritizing bugs, classifying defect severity, and keeping test status current for the team. • Communicate quality status, risk, and AI testing adoption progress clearly to developers, product managers, and leadership stakeholders. • Partner with Customer Support in triaging complex application issues when needed.

🎯 Requirements

• 7+ years of experience in an automation QA role • A genuine enthusiasm for AI-augmented workflows and a belief that AI fundamentally changes how QA operates. • Hands-on experience using AI tools (Claude, GitHub Copilot, Cursor, or similar) in a professional development or testing context; not just experimentation, but integrated into how you work. • Strong critical thinking and judgment skills. You know how to evaluate AI-generated outputs, spot what's wrong, and decide when to trust the result versus dig deeper. • Hands-on experience with Playwright (preferred) or strong experience with a modern automation framework (Cypress, Selenium, WebdriverIO, etc.) and willingness to ramp quickly on Playwright. • Demonstrated experience with exploratory testing techniques and the ability to find defects that scripted and AI-driven tests miss. • Proven ability to create and own test plans, define test strategies, and make risk-based decisions about release readiness. • Familiarity with Xray or a comparable test management tool integrated with Jira. • Strong Jira proficiency, including ticket workflows, bug reporting, sprint board management, and defect classification. • Excellent written and verbal communication skills, with the ability to present quality metrics and AI adoption progress to both technical and non-technical stakeholders. • Experience contributing to or maintaining a shared QA codebase with strong code quality and review practices. • Leadership mindset: You take initiative, coach peers through change, and raise the bar for the team.

🏖️ Benefits

• bonus • benefits