Senior Cloud Solutions Architect - Merck

Merck; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Merck is seeking a Senior Cloud Backend Engineer to shape cloud-native platforms for Healthcare R&D, primarily using AWS and Azure AD. You will implement new features, maintain platform functions, and manage deployments while collaborating with teams across the US, Europe, and India.

The role emphasizes data-driven drug discovery at scale and requires strong Python, SQL, and RESTful microservices expertise.

Formación

• University degree in CS/Engineering or related field.
• About 10 years of relevant experience in cloud/backend engineering.
• Proven track record building secure, scalable cloud-native systems on AWS at enterprise scale.
• Fluency in English with strong communication skills.
• Experience with AWS services, serverless design (Lambda, boto3) and RESTful microservices.
• Strong Python programming, and knowledge of SQL and relational databases.
• Understanding of CI/CD pipelines; Azure DevOps is a plus.
• Excellent problem-solving, ownership, and accountability.

Responsabilidades

• Implement new features and build deployments.
• Maintain platform functionalities and data archival processes.
• Support and execute the platform's technical roadmap.
• Collaborate with cross-functional teams across multinational sites.
• Adopt emerging technologies and drive scalable cloud-native solutions.

Conocimientos

AWS

Serverless design

Python

SQL

REST APIs

CI/CD pipelines

Azure DevOps

OOP languages

Cloud architecture

Security best practices

English communication

Problem solving

Educación

University degree in Computer Science, Engineering, or related field

Herramientas

AWS

Azure

Lambda

boto3

RESTful microservices

Azure DevOps

Python

SQL

Descripción del empleo

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 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
• 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)