Syllo

AI-powered document review and case strategy

QA Automation Engineer

Test Automation EngineeringUpdated on Nov 10

Full-timeRemote in USA

About the Job

Requirements

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 JavaScript or Python.
Experience integrating and debugging automated test suites within modern CI/CD pipelines, such as GitHub Actions.
Ability to design comprehensive test scenarios that uncover edge cases, race conditions, and integration risks using techniques such as boundary value analysis and equivalence partitioning.
A strong foundation in software testing methodologies, including test planning, defect lifecycles, and determining what to test before deciding how to automate it.
Strong communication skills.

Responsibilities

Convert high-value regression suites into maintainable automated tests.
Engineer and maintain the core primitives—fixtures, selectors, and reusable components—that 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 continuous integration pipelines.
Take on automation-hard technical flows as assigned, steadily expanding 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 while automated coverage expands.

Desired Qualifications

Experience collaborating with or reviewing code generated by AI coding assistants or autonomous agents.
Familiarity with containerized testing workflows using Docker and cloud-based test runners.
Experience testing data-intensive SaaS applications, document processing systems, or complex enterprise workflows.
Strong code review skills and bug-finding capability.

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

United States - Remote Pay Range 150000 - 210000 USD

About the Company

Syllo

AI-powered document review and case strategy

Syllo.ai provides an AI-powered workspace for litigation that helps lawyers and paralegals manage cases by reviewing millions of documents quickly, aiding in proof charting, and delivering deep case insights across the discovery-to-trial process. How it works: an in-house AI analyzes large data volumes to extract relevant information and surface insights, while human lawyers provide judgment and strategic input within a secure platform. Why it stands out: it targets elite litigators with an end-to-end, litigation-focused workspace that combines large-scale document processing, specialized features, and customizable solutions. Its goal is to streamline the litigation process, save time, reduce manual work, and help legal teams build stronger, data-driven strategies.

Company size: 51-200
Company stage: Early VC
Total funding: $35.2M
Headquarters: New York City, New York
Founded: 2019

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