Advanced QA Automation Engineer

About the role

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. 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, by positively contributing 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.

Requirements

• 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).
• 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.

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