Advanced QA Automation Engineer

Aizon is an AI software provider that transforms manufacturing operations with the use of advanced analytics, artificial intelligence, and other smart factory technologies focused on optimizing production within highly…

Location: Barcelona
Company size: 50–200
Posted: 3mo ago
Via: Lever

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Advanced QA Automation Engineer - Aizon

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Job Title: Advanced QA Automation Engineer
Job Location: Barcelona
Job Listing URL: https://jobs.lever.co/aizon/539e3c92-1bcf-40f5-9833-028be79022fa
Job Description: Who we are

Aizon is a software-as-a-service provider that transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence.

We are a fast-growing company entering an exciting new stage of expansion, and we are looking for ambitious new team members who are motivated to directly impact our growth and success. If you want your work to make a visible difference as we scale, this is the place to do it.

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 leading industry and software investor firms with solid industry and technology expertise, giving us the foundation to grow with confidence.

Our 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, to positively contribute to the life science industry and deserving patients worldwide.

The Position:

Report to: QC Lead

The Advanced QA 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 are 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.

Key Responsibilities:

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 QA 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 QA engineers on automation best practices, scalable code quality, and GMP-compliant testing documentation.

Qualifications:
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 QA 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.