Senior Quality Assurance Engineer (QA) - POS & Payments

Scotch is building the next-generation operating system for beverage alcohol retailers — combining POS, payments, back office, and e-commerce into a platform purpose-built for liquor stores.

We’re modernizing one of the oldest industries in the world: the $1.6T beverage alcohol market. Our platform helps retailers run more efficiently through streamlined payments, inventory management, reporting, and day-to-day operations.

Our founders came from Skupos (acquired 2023) and Drizly (acquired by Uber). We’ve raised $28M from VMG Partners, First Round, Lerer Hippeau, Watchfire, and Toba Capital, with angels including the founder of Drizly and early Toast executives. Forbes has recognized Scotch as a leader in liquor retail tech. We closed a $20M Series A in 2026 off 500%+ YoY growth and $1B+ in processed payment volume.

Key Responsibilities

• Own the QA strategy for the POS app, back office, and payments, deciding what gets automated, what gets tested by hand, and what blocks a release.
• Build and maintain automated test suites across layers: unit and integration coverage alongside engineers, E2E tests for the back office (Playwright or similar), and API and contract tests between the POS and back office.
• Wire tests into CI (GitHub Actions) so every pull request and release candidate gets fast, reliable feedback, and keep flaky tests at near zero.
• Turn our release process into evidence-based gates: regression results per build, upgrade testing from older app versions, staged rollouts by ring, and clear go/no-go criteria for hotfixes.
• Test on real hardware in real conditions: Elo terminals across Android and firmware versions, card readers, scanners, printers, offline mode, flaky networks, and long-running overnight soak tests.
• Drive payments quality, including processor certification test runs, refund and split-tender edge cases, and failure modes like reader disconnects and processor outages.
• Build test data and environments: seeded merchant data, isolated per-branch environments, and emulators so anyone can reproduce a merchant’s setup in minutes.
• Use AI tools to move faster, from generating test cases and test code to triaging crash logs and support tickets.
• Partner with support to shorten the path from a merchant report to a reproducible bug, with the register, app version, and transaction details attached.
• Track quality with a few clear metrics, such as escaped defects, crash-free sessions, release-health by version, and time from merge to store, and report on them plainly.
• Raise the quality bar across engineering: review test plans in design, coach engineers on writing testable code, and make quality everyone’s job.

Qualifications & Skills

• 6+ years in QA or software engineering in test, including 2+ years as the senior or lead quality owner for a shipping product.
• A track record of building test automation from scratch, not just maintaining someone else’s suite.
• Strong coding skills in Kotlin, Java, Ruby, TypeScript, or Python. You write test code that engineers are happy to review.
• Hands-on experience with modern frameworks (Espresso, Maestro, Appium, Playwright, Cypress, or similar) and running them in CI.
• Experience testing APIs, data integrity, and integrations between systems.
• Sound judgment about risk: you know when a bug should block a release and when it shouldn’t, and you can explain why.
• Clear writing for different audiences, from bug reports engineers can act on to release notes the support team can use.

Nice to Haves

• POS, retail, or payments experience, including card-present testing, processor certification, or PCI-aware testing practices.
• Experience with device fleet management, MDM, various product release processes.
• Experience with hardware peripherals such as card readers, barcode scanners, receipt printers, and cash drawers.
• Experience with Rails test tooling (RSpec, Capybara) or contract testing (Pact).
• Familiarity with feature flags (LaunchDarkly) and staged rollouts.
• Experience with release-health and observability tools such as Crashlytics, PostHog, or Sentry.
• Fluency with AI coding and testing tools, such as Claude Code, Cursor, or AI-assisted test generation.