QA Engineer

JumpCannon is an AI-powered commercial decision platform for food and beverage manufacturers selling into the foodservice market. It brings together distributor reports, product and customer information, and foodservice expertise. Its AI assistant, Lucy, helps users investigate performance, explore opportunities, and develop commercial plans based on their business data.

Responsibilities

• Test complete user journeys, from uploading provider files to reviewing dashboards and interacting with Lucy.
• Validate processed data against source files, including rows, columns, values, dates, units, and totals.
• Test duplicate uploads, overlapping reports, missing data, unsupported formats, and incomplete reporting periods.
• Verify dashboard calculations, filters, comparisons, exports, and consistency across the platform.
• Evaluate Lucy’s responses for factual accuracy, grounding in authorized data, consistency with the selected business context, and appropriate handling of uncertainty.
• Test frontend behavior, backend APIs, integrations, authentication, and user permissions.
• Verify data isolation between customer companies and appropriate access within each company.
• Design and maintain automated tests for critical workflows and regression risks.
• Document defects with clear reproduction steps, expected and actual results, severity, and supporting evidence.
• Work with developers to investigate root causes and independently verify fixes.
• Report test coverage, unresolved issues, and release risks.
• Use controlled test environments and appropriate test data to protect original files and customer information.

Required skills and experience

• Practical experience in QA for web applications.
• Strong exploratory, functional, integration, and regression testing skills.
• Hands-on experience with Playwright or Cypress.
• Experience testing APIs using Postman or automated test code.
• Working knowledge of SQL.
• Confidence working with Excel, CSV, and other structured data files, including reconciling calculations with source data.
• Ability to write and maintain test code in TypeScript, JavaScript, or Python.
• Familiarity with Git, issue tracking, and collaborative development workflows.
• Ability to distinguish interface defects, data quality problems, calculation errors, and integration failures.
• Strong analytical thinking, attention to detail, and clear written communication.
• Ability to prioritize testing based on business impact and investigate issues independently.
• Upper-Intermediate English.

Preferred experience

Experience testing analytics platforms, business intelligence tools, dashboards, or data ingestion pipelines; AI assistants or other systems with variable responses; commercial metrics and reporting periods; CI pipelines, Docker, or cloud-hosted applications; performance, accessibility, or application security. Familiarity with multi-tenant SaaS applications is also a plus. Foodservice, distribution, or manufacturing knowledge is helpful but not required.

How to apply

Please share your CV and a brief summary of your relevant QA experience, including the types of applications you have tested, the automation tools and programming languages you have used, and an example of a challenging defect you investigated and how you verified the fix.

Aaaaand, of course, your salary expectations :)

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