Overview 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.

Responsabilidades Implement new features and build deployments Maintain platform functionalities and data archive processes Adapt to emerging technologies and drive scalable cloud-native solutions Requisitos principales University degree in Computer Science, Engineering,



or related field Proven track record building secure, scalable cloud-native systems on AWS at enterprise level Fluency in English and strong communication skills Experience with AWS services and serverless design (Lambda, boto3) and RESTful microservices Strong programming skills in Python; knowledge of SQL and relational databases ideally Azure DevOps Python programming; SQL; OOP languages (Scala, C#, Java) advantageous RESTful APIs and microservices on AWS; AWS Lambda; serverless AWS cloud-native architectures at enterprise scale; security best practices (MFA, encryption, IAM)

📌 Cloud Solutions Architect - Fully Remote (Barcelona)
🏢 Merck
📍 Barcelona