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
- Support and execute the technical roadmap for the platform
- Collaborate with cross-functional teams across multinational sites
- Adapt to emerging technologies and drive scalable cloud-native solutions

Requisitos principales

- University degree in Computer Science, Engineering, or related field




- Around 10 years of relevant experience
- Proven track record building secure, scalable cloud-native systems on AWS at enterprise level
- Fluency in English and strong communication skills
- Willingness to learn and collaborate in a multinational environment
- Experience with AWS services and serverless design (Lambda, boto3) and RESTful microservices
- Strong programming skills in Python; knowledge of SQL and relational databases
- Understanding of CI/CD pipelines; ideally Azure DevOps

- exceptional problem-solving
- clear communication
- ownership and accountability
- Python programming; SQL; OOP languages (Scala, C#, Java) advantageous
- RESTful APIs and microservices on AWS; AWS Lambda; boto3; serverless
- AWS cloud-native architectures at enterprise scale; security best practices (MFA, encryption, IAM)

📌 Senior Cloud Solutions Architect - Merck (Mollet del Vallès)
🏢 Merck
📍 Mollet del Vallès