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QA Engineer

minutebox · Toronto, ON, Canada

Software DevelopmentExternal listingfull-time22 days ago

About The Role

About MinuteBox

  • At MinuteBox, we're crafting the next generation of legal tech for global enterprise firms. Our
  • platform handles the heavy lifting of corporate entity management, document automation, and
  • high-stakes compliance workflows.
  • We're a small, senior engineering team where shipping fast means building quality into the
  • architecture from day one. You'll work across the full stack—from high-concurrency backend
  • services to our reactive, high-performance frontend—ensuring every release is solid, scalable,
  • and correct.
  • We ship fast — and shipping fast only works when quality guards are built in from the start, not
  • bolted on at the end. QA is involved from the first line of a feature, and we're looking for
  • someone to dive in and help build those guards.
  • 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

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