QA Automation Engineer

About Syllo Syllo is leading the Litigation AI category. In 2019, a team of litigators and engineers founded Syllo to redefine how complex litigation works. Today it is the first unified Litigation AI system built to manage the entire case lifecycle, helping legal teams decide what matters and what comes next. Backed by top-tier VCs, Syllo empowers leading law firms and Fortune 500 companies to move faster and mitigate risk. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we deliver enterprise-grade Litigation AI. We’re building a team to push the boundaries of what technology can achieve. About the Role We are hiring a QA Automation Engineer to own the hands-on building of our test automation framework. Responsibilities Convert high-value regression suites into maintainable automated tests. Engineer and maintain the core primitives—fixtures, selectors, and reusable components—that our internal AI test-writing agents consume to generate valid tests. Actively monitor test run performance, optimize suite execution speed, and triage flaky tests to ensure high trust and signal in our continuous integration pipelines. Take on automation-hard technical flows as assigned, steadily expanding your scope and technical judgment. Flag framework gaps, tooling bottlenecks, and requirement ambiguities early to prevent downstream blockers and keep code reviews moving smoothly. Perform targeted manual testing to safeguard product quality as we systematically expand automated coverage. Qualifications Significant professional experience in QA Automation, Test Engineering, or Software Engineering with a strong quality focus. Hands-on proficiency with modern test automation frameworks and API test frameworks. Strong programming skills in languages such as JavaScript or Python. Experience integrating and debugging automated test suites within modern CI/CD pipelines (e.g., GitHub Actions). Proven ability to design comprehensive test scenarios that uncover edge cases, race conditions, and integration risks using techniques like boundary value analysis and equivalence partitioning. A strong foundation in software testing methodologies, including test planning, defect lifecycles, and knowing what to test before deciding how to automate it . Strong communication skills. Preferred Qualifications Experience collaborating with or reviewing code generated by AI coding assistants or autonomous agents. Familiarity with containerized testing workflows (Docker) and cloud-based test runners. Experience testing data-intensive SaaS applications, document processing systems, or complex enterprise workflows. Sharp code review skills and bug-finding capability. Salary Range ($150K- $210K) plus health insurance and equity. United States - Remote Pay Range $150,000 — $210,000 USD