Advanced QA Automation Engineer

• Design and own the automated test strategy for Aizon's platform.
• Build and maintain automated test suites across SaaS products.
• Generate GMP-compliant test evidence and reports.
• Collaborate with teams to define testable acceptance criteria.

Conocimientos

Python JavaScript/TypeScript Test Automation GxP Principles UI Test Automation API Test Automation, Selenium Playwright Jenkins GitHub Actions Jira Descripción del empleo, Report to: QC Lead

The Advanced QC Automation Engineer is the automation cornerstone of Aizon's Quality Control department. This role designs, builds, and continuously evolves automated testing frameworks that cover both Aizon Execute (iBR) and Aizon Platform (Unify & Predict) - two SaaS solutions deployed in highly regulated GxP pharmaceutical environments.

By transforming manual test scripts into reliable, self-documenting automated suites that produce human-readable, audit-ready evidence, this engineer enables faster release cycles, stronger quality gates, and greater confidence for our pharma and biotech customers worldwide., * Design and own the end-to-end automated test strategy for Aizon Execute (iBR), Aizon Unify, and Aizon Predict, covering functional, regression, integration, and API test layers across both SaaS platforms based on the guidelines defined by the QC Lead.

• Build and maintain automated test suites using modern frameworks (e.g., Playwright/Selenium for UI, Pytest/RestAssured for API), ensuring broad coverage of all critical GxP workflows and user journeys. The goal is to take advantage of AI in order to develop real human workflows covered by the automated test.
• Develop CI/CD-integrated pipelines (Jenkins, GitHub Actions, or equivalent) that automatically trigger and report test execution on every build, providing continuous quality feedback to the Engineering team.
• Generate structured, human-readable test evidence reports and execution logs that comply with GMP documentation requirements (CSV / GAMP 5 / 21 CFR Part 11) and are ready for internal and customer regulatory audits.
• Design and implement automated data integrity and validation checks for Unify's data fabric layer, verifying correct ingestion and contextualization of MES, LIMS, ERP, historian, and QMS data.
• Automate validation of Aizon Predict's AI/ML model management workflows, including model deployment, monitoring, and drift-detection test scenarios.
• Maintain a comprehensive traceability matrix that links requirements, test cases, and automated evidence artifacts, supporting IQ/OQ/PQ validation packages for customer deliverables.
• Collaborate with Product and Engineering teams during sprint planning and backlog grooming to define testable acceptance criteria and embed shift-left quality practices.
• Research and evaluate emerging test-automation and AI-assisted testing tools, introducing innovations that increase coverage and reduce execution time.
• Mentor junior QC engineers on automation best practices, scalable code quality, and GMP-compliant testing documentation.

A leading software provider for life sciences in Barcelona seeks an Advanced QC Automation Engineer. In this role, you will design and implement automated testing frameworks for our GMP-compliant SaaS solutions. Ideal candidates have 4+ years of QA experience, proficiency in Python and JavaScript, and a solid understanding of GxP principles. Competitive salary and benefits offered, along with opportunities for personal and professional growth in a dynamic team environment., * 4+ years of experience in software QA/testing, with 2 years in test automation.

• Demonstrated ability to produce audit-ready test evidence.
• Experience integrating automated tests into CI/CD pipelines., Bachelor's or Master's degree in Computer Science or related field, Must-have
• 4+ years of experience in software QA/testing, with at least 2 years focused on test automation for SaaS or cloud-based applications.
• Proficiency in Python and/or JavaScript/TypeScript for writing maintainable, scalable automated test code.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Hands-on experience with UI and API test automation frameworks (e.g., Playwright, Selenium, Cypress, Pytest, RestAssured, or equivalent).
• Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or equivalent).
• Solid understanding of GxP, CSV (Computer System Validation), or GAMP 5 principles applied to SaaS product testing.
• Willing to comply with and follow all regulations required when working in a highly regulated environment, such as ISO standards and GMP regulations.
• Demonstrated ability to produce human-readable, audit-ready test evidence and traceability documentation suitable for regulated GxP environments.
• Familiarity with test management and defect tracking tools (e.g., Jira/Xray, TestRail, Zephyr, or similar).

Nice-have

• Experience testing data platform or data integration solutions (ETL pipelines, data quality validation, historian/LIMS/MES connectivity).
• Knowledge of AI/ML model validation approaches, including testing for model outputs, drift detection, and audit trails in GxP settings.
• Familiarity with pharmaceutical manufacturing processes and systems (MES, LIMS, DCS, QMS, ERP) relevant to GMP environments.
• Experience with performance and load testing tools (k6, Locust, JMeter, or similar) for SaaS application benchmarking.
• ISTQB Advanced Level certification or equivalent recognized QA/QC certification.
• Exposure to ISO 27001, SOC 2, or 21 CFR Part 11 compliance requirements in software testing contexts.

The Human We're Looking For:

• An automation advocate who instinctively looks at any manual process and asks: "How can we make this self-running, self-documenting, and repeatable?"
• A clear communicator who can translate technical test findings into plain language for product managers, customer success teams, and even pharma customers during regulatory audits.
• A collaborative team player who thrives in a small, agile QC team, is comfortable wearing multiple hats, and takes ownership beyond their immediate scope.
• Intellectually curious and proactive - always exploring new frameworks, AI-assisted testing techniques, and industry best practices to keep Aizon's quality standards ahead of the curve.
• A meticulous, quality-driven professional who understands that in GMP environments, an untested or undocumented test simply never happened - and takes that responsibility personally.
• Someone with a compliance mindset who embraces regulatory rigor not as a constraint, but as a professional standard that protects patients and builds lasting customer trust.

Competitive salary Equity and bonuses Flexible schedule Healthcare plans Career plan and scheduled salary reviews Team-building activities, * Competitive salary (according to your experience/skills)

• Equity, bonuses, and generous stock options
• Flexible schedule - Intensive Fridays
• ️ Language one-to-one training courses
• Competitive healthcare plans and benefits - Medical & Dental Insurance
• Internal training and certifications plan
• Flexible Remuneration Options
• ️ Career plan and scheduled salary reviews
• Team-building activities
• Top-notch "tech pack" - We are Mac lovers!
• An open and collaborative work environment with a young and dynamic team and a very international culture
• An opportunity for personal and professional growth, supported by stellar investors and the exciting challenges that come with joining a company at the start of its growth trajectory

Aizon is a software-as-a-service provider that transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence. Following our recent Series C round of growth funding, we are looking for ambitious new team members motivated to directly impact our future growth and success as we launch what we consider "Aizon 3.0." Aizon is helping pharma manufacturers and CDMOs make better decisions in GMP operations. What makes us different from other manufacturing platforms? * We help operations leaders and engineers avoid endless cycles of chasing data in disparate and heavy-handed systems and rapidly understand how to run their manufacturing processes better. * We're solving multiple problems in GMP operations that cost manufacturers millions yearly while accelerating their digital maturity journey. One of our unique capabilities is the ability to operationalize the use of predictive AI models in real-time without a big data science staff. * We're backed by both industry and software investor firms like NewVale Capital, Atlantic Bridge, Danaher, Honeywell, CrossLink, and UnCork, with solid industry and technology expertise. The mission is to improve global health by optimizing how medicines are manufactured so that pharma and biotech companies can provide patients worldwide with the right medicine at the right time and price. Join us if you are motivated to directly impact our company's success and growth path forward and, more importantly, by positively contributing to the life science industry and deserving patients worldwide.