DevOps Engineering Expert

Department: Digital R&D, Data Platforms & Products

About the Job

At Sanofi, were committed to providing the next-gen healthcare that patients and customers need. Its about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data Platforms & Products Team as R&D DevOps Engineering Expert and you can help make it happen.

Your job?

As a R&D DevOps Engineering Expert at Sanofi, you will be focusing on the development and optimization of our R&D data platforms with data pipelines and MLOps capabilities. In this role, you will be a key player in bridging the gap between development and operations, automating our CI/CD pipelines, and ensuring the reliability, scalability, and security of our AWS and Snowflake environments. You will work with cutting-edge technologies, including containerization with ECS, ECR and Docker and will help implement our MLOps and data governance capabilities.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofis Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives. Were also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Continuous Integration/Continuous Delivery (CI/CD): Design, build, and maintain robust CI/CD pipelines to automate the build, test, and deployment of applications for both the ReactJS front end and back-end services.
• Infrastructure as Code (IaC): Use tools like Terraform to provision and manage AWS resources, including EC2, S3, Lambda, EKS/ECS, and RDS.
• Containerization and Orchestration: Manage containerized applications using Docker and orchestrate them with Amazon Elastic Kubernetes Service (EKS) or Amazon Elastic Container Service (ECS).
• AWS Environment Management: Deploy, manage, and maintain the AWS cloud infrastructure, ensuring high availability, performance, and cost efficiency.
• MLOps Platform Support: Collaborate with data scientists and MLOps teams to build and maintain the infrastructure that supports the end-to-end machine learning lifecycle, including model development, training, deployment, monitoring, and retraining.
• Data Platform Operations: Automate data pipelines and manage the Snowflake environment, ensuring data governance, quality, and security.
• Monitoring and Logging: Implement and manage monitoring, logging, and alerting systems to ensure the health, performance, and security of all applications and infrastructure.
• Security: Enforce security best practices, implement access controls (IAM), and ensure compliance across the entire cloud and platform stack.

About You:

Key Requirements & Qualifications:

6+ years in software engineering, and minimum 4 years of experience with DevOps engineering and cloud-based solutions.

• Proven experience as a DevOps Engineer, with a focus on AWS cloud services.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform. Good to understand AWS CloudFormation.
• Experience with CI/CD tools: GitHub CI/CD and GitHub Actions.
• Strong scripting skills in Python, Bash, ReactJS and Shell.
• Knowledge of the complete software development lifecycle and Agile methodologies.
• Hands-on experience with containerization using Docker and orchestration with Kubernetes (EKS) or ECS.

Good to have Skills:

• Data warehousing on Snowflake and integrating it with cloud environments.
• Understanding of MLOps concepts and experience supporting machine learning pipelines is a plus.
• Excellent problem-solving, communication, and collaboration skills.
• DevOps certifications are preferred.

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team
• Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

Applications received after the official close date will be reviewed on an individual basis.