5+ years of software QA experience with emphasis on automation
Proficient in TypeScript/JavaScript and E2E frameworks like Playwright
Experienced with monorepo workflow and Git
Excellent written communication skills for clear reporting
Strong grasp of testing fundamentals and methodologies
Proficient in API testing and debugging against REST endpoints
Responsibilities
Review and verify product PRs against articulated criteria and run risk analyses
Cover PRs with appropriate tests including unit, API, and UI end-to-end tests
Perform manual exploratory testing to validate new features
Triage and investigate issues, distinguishing real bugs from flaky tests
Execute regression testing plans and report on outcomes
Manage test cases and document clear, reproducible bug reports
Utilize AI tools for quality checks to streamline testing processes
Benefits
Impactful work that supports legal professionals daily
Culture prioritizing quality in development processes
Opportunity to work closely within a senior engineering team
Full Job Description
What you'll do
Review product PRs - go through diffs, assess what changed, and verify behavior against the linked ticket before merge. Run risk analysis on each: blast radius, feature-flag boundaries (LaunchDarkly), test-coverage gaps, and rollback safety
Cover PRs with tests at the right layer:
Unit tests (Jest/Vitest) for pure logic
API tests (Playwright) against our V2 REST API, including async filing/search flows and BigQuery verifcation.
UI end-to-end tests (Playwright), following our Page Object MOdel and scenario conventions
Add the coverage PRs are missing - including teammates' PRs that shipped without tets - and flag what still needs manual QA
Manual tests - Performan manual testing and validation
Test features hands-on - verify new and changed functionality across corporate entity and minute book workflows, share capital, compliance, and the async e-filing pipeline, with manual exploratory testing where it adds value
Triage and investigate issues - analyze customer-support handoffs, reproduce bugs, distinguish real regressions from flaky tests, and trace root causes through the codebase, Sentry, and GCP/BigQuery logs.
Execute regression plans for releases - work through the test plan for a release, run the relevant suites, and report what passed, failed, or needs a closer look.
Manage test cases and runs - keep cases up to date in TMS, log clear and reproducible bug reports in issue-tracking platforms
Build quality gates with AI - we run a suite of custom Claude Code skills and agents (PR review, bug triage, risk analysis, test generation, E2E debugging, fixture management) that let us put more guards in place, faster. You'll use them to do more - then apply your own judgment to confirm the results actually hold up.
What we're looking for
Core Requirements
Solid experience in software QA with a strong automation focus
Proficiency with TypeScript/JavaScript and a modern E2E framework (Playwright preferred; Cypress/Selenium experience translates).
Monorepo workflow - comfortable in a Git environment: branches, PRs, reading diffs, running tests locally.
Clear written communication - precise bug reports, reproducible steps, and well-scoped test plans
Strong testing fundamentals - test design techniques, equivalence partitioning, boundary analysis, risk-based prioritization - not just clicking through happy paths.
API testing - comfortable writing and debugging tests against REST endpoints, including async/polling flows.
Strong pluses
AI tooling - comfortable using Claude Code, Cursor, Copilot, or MCP-based tooling to move faster.
Cloud Infrastructure - familiarity with GCP, Firebase, and BigQuery for log investigation.
Feature flags - exposure to LaunchDarkly or similar release practices.
Code reading ability - ability to read backend services to investigate root causes.
Domain expertise - experience in document-heavy or legal/fintech domains
How we work
Speed needs guardrails. We move quickly by building quality gates as we go.
QA from the start. Quality is shaped during development, not inspected after it.
AI-assisted gates. We lean on AI tooling to generate tests and surface risk faster.
Human judgment. AI accelerates work; it doesn't replace the sane checks required to understand the product.
Pragmatic coverage. We prioritize well-targeted gates on real risk over vanity metrics
Why join
Real-world impact. Work on a product that legal professionals rely on daily
Quality-first culture. Build the gates that enable fast shipping without sacrificing confidence.
Senior team. Have a significant impact on a small, senior engineering team
