Digital R&D DevOps Engineering Lead | Grade: L3-1
- Job Title: Digital R&D DevOps Engineering Lead
- Location: Hyderabad
- Job type: Permanent, Full time
About The Team
We are an innovative global healthcare company driven by one purpose - to chase the miracles of science to improve people's lives. With a presence in over 100 countries, our teams are dedicated to transforming the practice of medicine and turning the impossible into the possible. We deliver life-changing treatments and life-saving vaccines to millions worldwide, while embedding sustainability and social responsibility at the heart of everything we do.
Sanofi has embarked on an ambitious digital transformation journey, with a strong focus on accelerating data-driven innovation and the adoption of Artificial Intelligence (AI) and Machine Learning (ML) to enhance R&D, manufacturing, and commercial performance. This transformation aims to bring breakthrough medicines and vaccines to patients faster and more efficiently.
Join our team as a
DevOps Engineering Lead and play a key role in advancing engineering excellence across Digital R&D. You'll contribute to shaping Sanofi's global digital future, collaborating closely within our expanding Hyderabad hub.
What You Will Be Doing
- 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 team 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
- 10+ 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.
Nice to have
- 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.
- Experience in healthcare or life sciences domain is a plus.
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