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PackageX

Cloud logistics platform for automated workflows

Senior QA Automation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeIslamabad, Islamabad Capital Territory, PakistanNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of QA engineering experience, with test automation as the core responsibility.
  • Experience building or substantially extending an automation framework.
  • Deep knowledge of Playwright, including driving it through MCP servers.
  • Experience with mobile automation using WebdriverIO and Appium for React Native or native applications.
  • Ability to write JavaScript or TypeScript that other engineers can trust.
  • Experience writing API, integration, or component tests with Vitest or Jest.
  • Experience integrating test suites into CI/CD systems such as GitHub Actions, GitLab CI, Bitrise, or similar.
  • Disciplined testing skills, including test plans, edge cases, boundary conditions, and structured exploratory sessions.
  • Experience testing on physical Android and iOS devices across operating system versions and hardware tiers.
  • Comfort using API tools, logs, and basic SQL to investigate issues below the user interface.
  • Ability to communicate clearly with engineers, product managers, and customer-facing teams.
  • Ability to make evidence-based calls about release readiness.
  • Ability to create structure in fast-moving, ambiguous environments.

Responsibilities

  • Design, build, and maintain automation frameworks for the React Native app using WebdriverIO, Appium, and Mocha; the web platform using Playwright; and APIs and SDKs using Vitest.
  • Build and maintain Playwright web automation, including driving it through MCP servers with guardrails that keep generated tests trustworthy.
  • Own failure triage, flaky-test detection, and coverage analysis; investigate and fix noisy test suites rather than muting them.
  • Build and maintain SDK test coverage, including integration harnesses, sample apps, contract tests, and cross-version regression suites.
  • Integrate test suites into CI/CD so regressions are caught on every pull request and build, with reporting and traceability in Allure, JUnit, and Testmo.
  • Run exploratory and manual testing on real Android and iOS devices, including rugged handhelds and scanners.
  • Test Vision AI features under real-world conditions, including poor lighting, damaged labels, angled shots, and low-end devices.
  • Validate offline behavior, data synchronization, and recovery when connectivity drops mid-workflow.
  • Reproduce and isolate issues reported from customer sites, and provide engineers with reproducible steps, logs, and screenshots.
  • Review requirements and designs early, flag gaps and untestable logic, and promote testability through test IDs, mocks, seeded data, and environment parity.
  • Provide evidence-based go/no-go input on every release and own quality metrics including defect leakage, coverage, flaky-test rate, and escaped bugs.
  • Maintain test data, test environments, and the device lab, and keep suites healthy with reasonable run times.

Desired Qualifications

  • Experience testing SDKs or other developer-facing products.
  • Experience with Allure reporting and test management tools such as Testmo, TestRail, or similar.
  • Experience testing camera-driven features, barcode scanning, OCR, or machine learning and Vision AI outputs.
  • Experience with performance and load testing tools such as k6, JMeter, or Gatling.
  • Experience in logistics, supply chain, manufacturing, warehousing, or another operations-heavy environment.

About the Company

PackageX

Cloud logistics platform for automated workflows

PackageX provides a cloud-based enterprise logistics platform that automates and digitizes end-to-end supply chain tasks, including receiving, inventory, fulfillment, shipping, and returns. It uses AI-powered scanning—OCR, barcode, and computer vision—to automatically extract data from labels and documents, boosting accuracy and speed. The platform delivers real-time visibility, automated notifications, exception handling, and API integrations with WMS and ERPs across any device. It differentiates itself by offering end-to-end, AI-driven data entry for a wide range of users on a single cloud platform, aimed at reducing costs and increasing workforce productivity.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2018

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