Your Role: As a Senior cloud platform Back-End Engineer with a strong background in AWS tools and services, you will be part of the Data & AI Solutions - Engineering team in our Healthcare R&D business. Your expertise will drive further development, deployment and continuous improvement of a critical, AWS-Cloud-based analytics platform, contributing to the overall success of our R&D efforts in the discovery and development of new drugs.Since the platform scope will evolve over time, this role will equally focus on implementing thetechnical roadmap as well as maintaining available functionalities. You will be expected to adapt quickly to evolving technologies and effectively manage the infrastructure and security aspects of the platform. You will be responsible for both the design and implementation of new platform features, including overseeing the deployment of new releases and ensuring efficient and seamless updates from a performance perspective. You will also implement strategies for data archival and optimize data lifecycle processes to ensure efficient storage management and compliance with data regulations.You will join a multicultural team working in agile methodologies and having high autonomy in decision-making. The role is hybrid or remote.Current platform tech stack: Python AWS: VPC, IAM, STS, EKS, RDS, EC2, ECS, Route53, CloudWatch, CloudTrail, Secrets Manager, S3, API Gateway, Lambda, MWAA Kubernetes: Docker, Helm, ArgoCD, GitOps Web Development: NextJS, Storybook, Tailwind TypeScript PostgreSQL OpenSearch / ElasticSearch CDK & Cloud Formation Azure AD Git Airflow Microsoft Entra ID R, SAS Who you are: Your Must Have tech skills Proficiency using Python, especially with the boto3 library to interact with AWS services programmatically, for infrastructure as a code with AWS CDK and AWS Lambdas Proficiency in navigating and utilizing various AWS tools and services System design skills in the cloud environment Experience with SQL Nice-to-have tech skills Familiarity with Microsoft Entra ID for identity and access management Familiarity with R and SAS is beneficial, particularly for data analysis and statistical modeling tasks Further requirements: University degree in Computer Science, Engineering, or a related field Willingness to work in a multinational environment and cross-functional teams distributed between the US, Europe (mostly, Germany) and India Sense of accountability and ownership, fast learner Having experience in a regulated environment is a plus (GxP) Fluency in English& excellent communication skills Role: Expert 3 If you are curious and ambitious to take up this challenge, apply today and be in the driver's seat implementing our Data and Analytics landscape. Your contribution will make a lasting impact on our customers and our organization and elevating Data & Analytics to the next level! #J-18808-Ljbffr