QC Automation Engineer

💼 Unique opportunity to join our company as it scales with excellent market traction and huge potential to grow globally

💰 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

Join our team and significantly impact our company's growth and success as we shake the pharmaceutical manufacturing industry.

We are dedicated to maintaining an inclusive workplace in which all employees are treated with respect and are able to contribute meaningfully to society. Our organization brings together professionals from diverse backgrounds, representing more than 28 nationalities, and we take pride in being an equal-opportunity employer.

Employment decisions are based exclusively on qualifications, merit, and business requirements. Applicants who require assistance or accommodation due to a disability may contact us at jobs@aizon.ai.

Report to: QC LEAD

For our Compliance department and Quality Control team, we are looking for a QC Automation Engineer with over 5+ years of experience in this field, a strong technical background working with different Databases, and a strong knowledge of Test Data Management tools. The successful candidate will be in charge of creating, reviewing, and maintaining the Automated and manual tests in order to ensure compliance with regulatory, quality, and safety priorities.

• Design and own the end-to-end automated test strategy for Aizon products, covering functional, regression, integration, and API test layers across both SaaS platforms based on the guidelines defined by the QC Lead.

• Worked closely with Agile development teams and stakeholders to develop and maintain the automation testing framework, using tools such as Jira.

• Define and execute manual tests when necessary.

• Schedule Testing activities.

• Take objective evidence on different devices, browsers, and operating systems.

• Report testing results.

• Collaborate with developers to define unit and integration tests.

• Identify and troubleshoot issues or potential risks in the platform at an early stage of the development cycle.

• Work with the Release Engineering team to create and maintain an automated set of "smoke" and regression tests.

• Provide assistance to Product Owners while they create business requirements and map them with the test strategy and specifications.

• Review requirements, specifications, user documentation, help files, and other project documentation to ensure the quality of the platform and tests to be developed.

• Guide testing and compliance efforts to ensure regulatory, quality, and safety priorities are adequately addressed.

• Line management and Performance appraisal activities for STEs and SDETs in the Quality Control Team.

• Generate structured, human-readable test evidence reports and execution logs that comply with GMP documentation requirements and are ready for internal and customer regulatory audits.

• Automate validation of Aizon 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.

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.

• Critical eye to stress the platform and to be quality-oriented

• Possessing an agile mindset, fast to adapt to constant changes, and feeling comfortable with it

• Naturally questioning everything

• Excellent communication skills, both within and outside the team

• Have experience working on a dynamic product that is ever-changing and evolving rapidly

• Commitment to quality

• Strong analytical and creative problem-solving skills

• Ability to take smart risks and champion new ideas

• Team player, collaborative, innovative, get things done mindset

• Ability to understand business requirements and translate them into technical requirements

• Show initiative in setting and meeting goals within an environment of managed change

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

• Similar experience (at least 5 years) with automated testing methodologies, tools, and manual testing. Proficient in spoken and written English 

• Knowledge of programming in Python and/or JavaScript/TypeScript for writing maintainable, scalable automated test code.

• Deep knowledge of automated testing methodologies and tools is required 

• Programming knowledge and experience (JavaScript/Java) is required 

• End-to-end testing experience is required

• 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).

• 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.

• 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.

• Experience with automated performance tests 

• Experience in working with popular testing frameworks (Cypress, Cucumber) 

• IT cloud tools knowledge is desirable (Amazon Web Services) 

• Atlassian ecosystem: Confluence, Jira, Bitbucket 

• Google G Suite 

• Risk management 

• Agile software development 

• Research and evaluate emerging test-automation and AI-assisted testing tools, introducing innovations that increase coverage and reduce execution time.

• 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.