As a Senior Cloud Backend Engineer in Data & AI Solutions, you will shape cloud-native platforms for Healthcare R&D, primarily using AWS and Azure AD. You will support the technical roadmap, maintain platform functions, and build data archival processes while adopting emerging technologies. You’ll implement new features and manage deployments in collaboration with cross-functional teams across the US, Europe, and India. This role offers meaningful work shaping data-driven drug discovery and development at scale.Implement new features and build deploymentsMaintain platform functionalities and data archive processesSupport and execute the technical roadmap for the platformCollaborate with cross-functional teams across multinational sitesAdapt to emerging technologies and drive scalable cloud-native solutionsUniversity degree in Computer Science, Engineering,



or related fieldAround 10 years of relevant experienceProven track record building secure, scalable cloud-native systems on AWS at enterprise levelFluency in English and strong communication skillsWillingness to learn and collaborate in a multinational environmentExperience with AWS services and serverless design (Lambda, boto3) and RESTful microservicesStrong programming skills in Python; knowledge of SQL and relational databasesUnderstanding of CI/CD pipelines; ideally Azure DevOpsexceptional problem-solvingclear communicationownership and accountabilityPython programming; SQL; OOP languages(Scala, C#, Java) advantageousRESTful APIs and microservices on AWS; AWS Lambda; boto3; serverlessAWS cloud-native architectures at enterprise scale; security best practices(MFA, encryption, IAM)#J-18808-Ljbffr

📌 Senior Cloud Solutions Architect - Merck (Barcelona)
🏢 Merck
📍 Barcelona