System Engineer III

Job Description:
The Senior Systems Engineer Production AI will join the mRNA Systems Engineering team to design, build, and operate production grade systems based on AI and machine learning and that accelerate mRNA vaccine research and development. Working in a highly agile, cross functional environment at the interface of software engineering, AI/ML, and pharmaceutical sciences, the role contributes to build scalable digital products that bring predictive models into production and empower scientific users across Vaccines R&D.
Responsibilities:

• Design, develop, deploy, and operate production grade AI/ML systems and data pipelines in an agile environment.
• Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
• Develop user facing applications through APIs and/or graphical interfaces.
• Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
• Build and optimize compute pipelines supporting data processing and model training.
• Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
• Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
• Ensure high standards for code quality, documentation, and knowledge transfer.
• Communicate complex technical concepts clearly to both technical and non technical stakeholders.

Requirements:

• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
• English: fluent (mandatory). French: nice to have.
• Minimum of 5 years of professional software engineering experience.
• Demonstrated delivery of production level systems with measurable impact.
• Strong experience working in agile environments with a customer oriented mindset.
• Proven experience deploying and operating applications in production.
• Experience in pharmaceutical, biotechnology, or life sciences environments.
• Awareness of drug discovery, vaccine development, or experimental sciences.
• Experience with workflow orchestration tools such as Metaflow.
• Experience in mentoring or technical training.
• Contributions to open source or technical communities.
• Experience designing scalable data engineering solutions.

Technical Skills:

• GitHub Actions and CI/CD pipeline implementation.
• Kubernetes based container orchestration.
• GitOps practices (ArgoCD or equivalent).
• Strong Python programming skills.
• API and/or web application development.
• Production deployment of machine learning models and MLOps practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).
• For the right candidate, depth of expertise and delivery track record are more important than the number of years of experience.
• The ideal candidate is a strong collaborator, comfortable working with scientific users, and motivated to build impactful digital products that advance mRNA vaccine development.
• Agile and fast paced team environment focused on rapid iteration and delivery.
• Strong cross functional collaboration across Vaccines R&D, Digital, and CMC.