Systems Engineer III; IT

Title: Systems Engineer III (IT)

Location: Waltham MA 02451

Duration: 8 Months Contract

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.

• 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 Git Hub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using Git Ops 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.

• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.

• 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.

• Git Hub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• Git Ops 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).

• English: fluent (mandatory). French: nice to have.

• 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.

• Hybrid working model with a minimum of three days per week on site in Waltham, MA.
• Agile and fast‑paced team environment focused on rapid iteration and delivery.
• Strong cross‑functional collaboration across Vaccines R&D, Digital, and CMC.