QA Automation Engineer

November 7, 2026

Hybrid

Senior

Madrid, Spain

Indeed

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Mandatory office attendance
3 days per week
English is required

Description

An automotive software company that digitizes the customer journey for manufacturers and dealerships is hiring a hands-on QA Automation Engineer (Mid/Senior). The role focuses on building, extending and running test automation across API, UI, integration and regression layers inside Agile product teams. Working alongside a QA AI Automation Staff Engineer, the hire moves the organization from manual-heavy testing toward a consistent, automated and measurable quality practice.

Responsibilities

Design, develop and maintain automated tests across API, UI, integration, regression and data layers following the QA automation strategy
Translate user stories and acceptance criteria into test cases and automated scenarios from the beginning of each sprint
Enhance shared automation frameworks by creating reusable components, utilities, fixtures and test data builders
Convert manual regression test suites into automated tests, focusing first on the highest-risk and most frequently executed workflows
Ensure automation suites remain fast, stable and reliable by identifying flaky tests and eliminating redundant coverage
Use AI tools such as LLMs and GitHub Copilot to generate test cases, test data and automation scripts with critical review
Pilot and implement AI-driven testing approaches including self-healing locators and AI-assisted failure triage
Leverage test analytics and defect trends to identify high-risk areas and help define testing priorities
Share learnings, prompts and best practices with the wider QA community to scale AI testing initiatives
Integrate automated test suites into CI/CD pipelines using GitHub Actions, with deployments hosted on AWS and Azure
Configure and maintain quality gates, reporting mechanisms and dashboards that provide actionable feedback
Collaborate with DevOps teams to manage test environments and test data, ensuring reproducibility and version control
Monitor and report on QA metrics such as automation coverage, pass/fail rates, defect leakage and execution times
Support incident management by reproducing and triaging production issues, validating fixes and contributing to root-cause analysis and postmortems
Transform lessons learned into new regression tests and process improvements
Work as an embedded member of Agile/Scrum teams, participating in refinement sessions, sprint planning and reviews
Partner with developers on unit testing and contract testing practices, promoting a shift-left quality culture
Mentor and support junior and manual QA engineers in developing their automation capabilities
Provide structured feedback to the QA Staff Engineer to continuously improve automation standards and frameworks

Requirements

4+ years of experience in QA or software testing, including at least 3 years developing test automation in production environments
Strong programming skills in at least one of Python, JavaScript/TypeScript or Java, with the ability to read code in the others
Hands-on experience with test automation frameworks such as Playwright, Cypress, Selenium or REST-assured
Solid API testing expertise including REST APIs, JSON payloads, authentication mechanisms, contract testing and schema validation
Ability to design and execute manual testing activities, including end-to-end and integration testing scenarios when automation is not feasible
Experience integrating and executing automated tests within CI/CD pipelines such as GitHub Actions, GitLab CI, Jenkins or Azure DevOps
Practical experience using AI-powered tools like LLMs or GitHub Copilot to accelerate test design, test data creation and automation development
Strong knowledge of Git, code review processes and clean code principles applied to test automation
Experience working within Agile/Scrum environments
Nice to have: experience with AWS cloud environments, cloud-native testing practices, Docker containers and infrastructure fundamentals
Nice to have: exposure to self-healing test frameworks, AI-based test generation and test analytics platforms
Nice to have: performance and load testing tools such as k6, JMeter and Gatling, plus database and data testing with SQL
Nice to have: security testing experience with tools such as OWASP ZAP
Nice to have: background in enterprise SaaS, automotive software, ERP platforms or other complex integration-heavy products
Nice to have: experience testing legacy applications during modernization or migration initiatives