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 (Barcelona)
🏢 Merck
📍 Barcelona