Advanced QA Automation Engineer

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.

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 (i ) 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.

• Design and own the end-to-end automated test strategy for Aizon Execute (i ), 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/Rest Assured 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, Git Hub 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,…