QA Engineer

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    "description": "<p><span style=\"font-weight: bold\">About MinuteBox</span></p>\n<p><br>At MinuteBox, we're crafting the next generation of legal tech for global enterprise firms. Our<br>platform handles the heavy lifting of corporate entity management, document automation, and<br>high-stakes compliance workflows.</p>\n<p><br>We're a small, senior engineering team where shipping fast means building quality into the<br>architecture from day one. You'll work across the full stack—from high-concurrency backend<br>services to our reactive, high-performance frontend—ensuring every release is solid, scalable,<br>and correct.</p>\n<p><br>We ship fast — and shipping fast only works when quality guards are built in from the start, not<br>bolted on at the end. QA is involved from the first line of a feature, and we're looking for<br>someone to dive in and help build those guards.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What you'll do</span><br></p>\n<p><br><br></p>\n<ul>\n<li>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 </li>\n<li>Cover PRs with tests at the right layer: \n<ul>\n<li>Unit tests (Jest/Vitest) for pure logic </li>\n<li>API tests (Playwright) against our V2 REST API, including async filing/search flows and BigQuery verifcation. </li>\n<li>UI end-to-end tests (Playwright), following our Page Object MOdel and scenario conventions</li>\n<li>Add the coverage PRs are missing - including teammates' PRs that shipped without tets - and flag what still needs manual QA</li>\n<li>Manual tests - Performan manual testing and validation </li>\n</ul>\n</li>\n<li>Test features hands-on — verify new and changed functionality across corporate entity<br>and minute book workflows, share capital, compliance, and the async e-filing pipeline,<br>with manual exploratory testing where it adds value</li>\n<li>Triage and investigate issues — analyze customer-support handoffs, reproduce bugs,<br>distinguish real regressions from flaky tests, and trace root causes through the<br>codebase, Sentry, and GCP/BigQuery logs.</li>\n<li>Execute regression plans for releases — work through the test plan for a release, run<br>the relevant suites, and report what passed, failed, or needs a closer look.</li>\n<li> Manage test cases and runs — keep cases up to date in TMS, log clear and<br>reproducible bug reports in issue-tracking platforms</li>\n<li> Build quality gates with AI — we run a suite of custom Claude Code skills and agents<br>(PR review, bug triage, risk analysis, test generation, E2E debugging, fixture<br>management) that let us put more guards in place, faster. You'll use them to do more —<br>then apply your own judgment to confirm the results actually hold up.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What we're looking for</span><br></p>\n<p><br></p>\n<p>Core Requirements<br></p>\n<ul>\n<li>Solid experience in software QA with a strong automation focus</li>\n<li>Proficiency with TypeScript/JavaScript and a modern E2E framework (Playwright<br>preferred; Cypress/Selenium experience translates).</li>\n<li>Monorepo workflow — comfortable in a Git environment: branches, PRs, reading diffs,<br>running tests locally.</li>\n<li> Clear written communication — precise bug reports, reproducible steps, and<br>well-scoped test plans</li>\n<li> Strong testing fundamentals — test design techniques, equivalence partitioning,<br>boundary analysis, risk-based prioritization — not just clicking through happy paths.</li>\n<li>API testing — comfortable writing and debugging tests against REST endpoints,<br>including async/polling flows.</li>\n</ul>\n<p><br></p>\n<p>Strong pluses</p>\n<ul>\n<li> AI tooling — comfortable using Claude Code, Cursor, Copilot, or MCP-based tooling to<br>move faster.</li>\n<li> Cloud Infrastructure — familiarity with GCP, Firebase, and BigQuery for log<br>investigation.</li>\n<li>Feature flags — exposure to LaunchDarkly or similar release practices.<br></li>\n<li>Code reading ability — ability to read backend services to investigate root causes.</li>\n<li>Domain expertise — experience in document-heavy or legal/fintech domains<br></li>\n</ul>\n<p><br></p>\n<p>How we work</p>\n<ul>\n<li>Speed needs guardrails. We move quickly by building quality gates as we go.</li>\n<li> QA from the start. Quality is shaped during development, not inspected after it.</li>\n<li>AI-assisted gates. We lean on AI tooling to generate tests and surface risk faster.<br></li>\n<li>Human judgment. AI accelerates work; it doesn't replace the sane checks required to<br>understand the product.</li>\n<li>Pragmatic coverage. We prioritize well-targeted gates on real risk over vanity metrics</li>\n</ul>\n<p><br></p>\n<p>Why join<br></p>\n<ul>\n<li>Real-world impact. Work on a product that legal professionals rely on daily</li>\n<li>Quality-first culture. Build the gates that enable fast shipping without sacrificing<br>confidence.</li>\n<li>Senior team. Have a significant impact on a small, senior engineering team</li>\n</ul>\n<p><br><br></p>",
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