Senior QA Automation Engineer

Litify

7h•$110,000 - $120,000•Remote

About The Position

Litify is seeking a Senior QA Automation Engineer to join their Product & Engineering team. This is a high-impact, AI-first role focused on owning quality end-to-end within an agile squad and leading the adoption of AI-driven testing practices. The role involves transforming QA from traditional manual execution to an AI-augmented model where AI agents perform initial test passes, and human QA engineers focus on reviewing AI outputs, exploratory testing, and critical judgment on quality and risk. The engineer will drive this transformation by reviewing AI test outputs, identifying gaps, performing targeted exploratory testing, and building scalable Playwright automation. Experience with the Salesforce platform is important, and the ideal candidate is excited about redefining QA and leading teammates through this transition. The position can be located anywhere in the United States.

Requirements

7+ years of experience in an automation QA role
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.
Strong critical thinking and judgment skills to evaluate AI-generated outputs.
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.
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.
Experience contributing to or maintaining a shared QA codebase with strong code quality and review practices.
Leadership mindset: initiative, coaching peers through change, and raising the bar for the team.

Nice To Haves

5+ years of experience with Playwright.
Experience with Salesforce or testing Salesforce-based applications.
Familiarity with Salesforce debugging logs or similar platform-level diagnostic tools.
Prior experience working within legal technology or document management products.
Experience with CI/CD pipelines and integrating automated tests into deployment workflows.
Experience with prompt engineering, building AI-augmented QA workflows.
Experience leading a team through a process transformation or tooling adoption.
Familiarity with AI testing concepts such as output validation, hallucination detection, or confidence scoring.

Responsibilities

Champion AI-first QA practices and lead the rollout and continuous improvement of the AI Feature Testing process.
Review and validate AI-generated test results for accuracy, completeness, and false positives/negatives.
Perform manual test cases, targeted exploratory and edge-case testing on complex workflows, boundary conditions, integration points, and scenarios where AI coverage is insufficient.
Own QA strategy and execution for the 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.
Leverage AI development tools (Claude, GitHub Copilot) 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 the Xray test management repository and maintain traceability.
Manage QA workflow in Jira, including logging and prioritizing bugs, classifying defect severity, and keeping test status current.
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.