QA Engineer
New
US Eastern Time or Europe, US Eastern Time or EuropeFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4-5 years
- Required Skills
- DockerBlockchainKubernetesTypeScriptAPI testingManual testingCI/CDPlaywright
Requirements
- 4-5 years of experience as a QA Engineer.
- Experience testing frontend Web3 applications, dApps, wallets, smart contract integrations, or other user-facing blockchain experiences.
- Experience testing frontend trading platforms, decentralized exchanges, financial dashboards, or other complex distributed applications.
- Experience with both manual testing and test automation.
- Proficiency in Typescript and experience developing or maintaining automation frameworks such as Playwright.
- Experience with Pytest, CI/CD pipelines, Docker, Kubernetes, cloud infrastructure, or similar technologies.
- Experience testing and debugging REST, gRPC, WebSocket, or other API-driven systems.
- Familiarity with blockchain transactions, wallet integrations, blockchain explorers, and smart contract interactions.
- Strong troubleshooting and debugging skills across multiple layers of the technology stack.
- Ability to quickly learn new products, technologies, and domains with minimal guidance.
Responsibilities
- Perform manual, exploratory, regression, integration, and end-to-end testing across multiple products and systems.
- Design, build, and maintain a UI automation test suite and quality tooling using Typescript and Playwright.
- Integrate wallet extensions such as MetaMask/Keplr into the test suite.
- Validate functionality across web applications, APIs, backend services, blockchain infrastructure, and protocol-level features.
- Investigate issues across frontend, backend, infrastructure, and distributed systems.
- Analyze logs, metrics, network traffic, and system behavior to identify root causes and quality risks.
- Collaborate with Product, Engineering, DevOps, and other stakeholders throughout the development lifecycle.
- Contribute to release validation, test strategy, automation initiatives, and continuous improvement efforts.
- Leverage AI-powered tools and workflows to accelerate testing, automation, investigation, and overall quality engineering productivity.
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