Senior QA Automation Engineer

Were looking for a Senior QA Automation Engineer to join our team in Malaga Spain in a hybrid working mode. This role blends the strengths of a Senior QA Engineer with those of a Software Developer in Test enhanced for the AI era. You will combine deep testing expertise with strong engineering skills building automation frameworks integrating quality into CI/CD pipelines and designing advanced test strategies for both traditional and AI-powered software systems.

This is your opportunity to lead quality engineering initiatives in a cutting-edge environment where cloud automation and AI-driven systems intersect ensuring the reliability and safety of next-generation applications.

• Analyze requirements and architecture to create comprehensive test plans cases and data sets across functional integration regression and exploratory testing
• Design and maintain automation frameworks using tools such as Cypress Playwright Selenium JMeter Gatling
• Develop and integrate testing tools into CI/CD pipelines to boost engineering productivity
• Build observability and telemetry solutions for real-time quality monitoring
• Identify and automate repetitive tasks reducing manual testing effort
• Manage defect lifecycle: reproduce isolate document and prioritize issues until resolution
• Apply AI-assisted workflows for test generation code review and defect triage while validating AI outputs for accuracy
• Design and execute targeted testing for AI/LLM-powered features including safety and reliability checks
• Collaborate with developers for quality-first practices across the SDLC and provide leadership in quality strategy
• Work within an agile delivery model contributing to process improvements and mentoring team members

• Strong experience in software quality assurance covering UI/black-box testing and white-box techniques
• Proficiency in at least one programming language (Java Python Scala or TypeScript)
• Hands-on experience with automation tools (e.g. Cypress Playwright Selenium)
• Understanding of SDLC STLC and agile practices
• Proven experience with CI/CD systems (e.g. GitLab Jenkins Azure DevOps Argo CD)
• Knowledge of cloud services and container platforms (AWS Azure GCP Kubernetes Docker)
• Familiarity with observability tools (Splunk Grafana Prometheus Datadog)
• Practical experience with AI coding assistants (e.g. GitHub Copilot Claude Code) for test authoring and debugging
• Familiarity with testing AI features including evaluation harnesses golden-set tests prompt injection safeguards and model regression strategies
• Awareness of responsible AI principles: bias fairness privacy and safety considerations
• Experience designing and validating prompts LLM workflows and automation environments with AI integration
• Excellent communication abilities for bug reporting test planning and explaining quality trade-offs. Strong analytical and problem-solving skills

• Experience with performance testing (e.g. Gatling JMeter)
• Prior leadership experience in QA teams or test strategy definition
• Experience in highly regulated or data-sensitive environments