Top QA Engineer Jobs in Amsterdam

As a Senior QA Engineer at ClickHouse, you will enhance test automation frameworks, validate new features, and improve testing strategies for distributed systems.

Design and execute comprehensive test plans for dApps and smart contracts, perform unit/integration/end-to-end testing, run security audits and vulnerability assessments, automate tests within CI/CD pipelines, monitor quality metrics, debug issues, and collaborate with developers and product managers to ensure reliable DeFi/EVM-compatible applications.

Design and maintain an end-to-end automated testing framework spanning AWS-hosted web applications and native Salesforce workflows. Automate cross-platform user journeys, build resilient Salesforce Lightning UI tests (handling dynamic IDs and Shadow DOM), develop API automation for integrations, webhooks and queues, verify data with REST and SOQL, and integrate test suites into Git-based CI/CD pipelines.

Senior QA & Compliance consultant providing SME support for Blood & Plasma investigational and commercial products across the EU. Duties include QP-related activities (batch certification), GxP auditing, QMS development, GDP/Responsible Person duties, risk assessments, client training, project delivery and profitability, and promoting CQA services while keeping regulatory knowledge current.

As a Quality Assurance Engineer, you will test software, validate new features, perform regression testing, and manage user-reported bugs.

Design, develop, and maintain automated test suites for web and mobile applications, ensuring quality through cross-platform testing and CI/CD integration.

Build and maintain automated test suites for smart contracts and UIs, integrate testing into development, identify and track bugs, improve test frameworks, and ensure comprehensive coverage for new features.

Perform manual and automated testing across web, mobile, APIs, backend services, and blockchain integrations. Build and maintain Python-based test frameworks, investigate issues across distributed systems, analyze logs/metrics/network traffic, contribute to release validation and automation, and collaborate with product, engineering, and DevOps. Use AI tools to accelerate testing, support incident analysis, and proactively improve testing coverage and product reliability.