Senior Cloud Solutions Architect - Merck

Merck
Madrid, Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
10 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure C Sharp (Programming Language) Cloud Computing Computer Programming Relational Databases Multi-Factor Authentication Identity and Access Management Python (Programming Language) Azure Active Directory
+13 more
Cloud Services Oop Languages Standard Sql Scala (Programming Language) SQL Databases Cloud Platform System Boto3 AWS Lambda Backend Information Technology Restful APIs Serverless Computing Microservices

Job description

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)#J-*****-Ljbffr

Requirements

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) #J-*****-Ljbffr

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