System Engineer III

Job Title: System Engineer III

Location: Waltham, MA (Hybrid working model with a minimum of three days per week on site in Waltham, MA.)

Duration: 12 Months+ Possible Extension

Pay Range: $90 - $96/hr. on W2

• Education :
  Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field.
• MS and PHD accepted / Over 5 years of exp accepted.
• Strong experience working in agile environments with a customer oriented mindset.
• Proven experience deploying and operating applications in production.
• Python programming skills. Git Hub Actions and CI/CD pipeline implementation.
• Kubernetes based container orchestration.
• Git Ops practices (Arg Client or equivalent). Dev Ops, automation.
• Production deployment of machine learning models and MLOps practices.
• API and/or web application development.
• Production deployment of machine learning models and MLOps practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).

• 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. Some knowledge in orchestration frameworks, preferred in Metaflow, frameworks, operation.
• AI assisted software engineering experience.
• Agents skills dedicated format, write small passages for skills.
• Contributions to open source or technical communities.
• Experience designing scalable data engineering solutions.

• Client’s mRNA Center of Excellence (CoE) represents an annual investment of approximately €400 million to accelerate the development of next generation vaccines.
• With around 400 dedicated employees across Cambridge, Massachusetts (USA) and Marcyl’Etoile, France, the CoE integrates endtoend mRNA vaccine capabilities across Research & Development, Digital, and CMC functions.
• Beyond pandemic preparedness, the CoE drives innovation in mRNA technologies with a strong focus on thermostability, tolerability, and routine vaccination use cases.
• Advanced AI and machine learning approaches—such as lipid nanoparticle prediction and mRNA sequence optimization—are embedded in the research strategy to accelerate scientific decision making and development timelines.

• 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., Arg Client).
• 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 nontechnical 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…