
Senior Cloud Solutions Architect
Our Take
Senior Cloud Solutions Architect at Merck KGaA in Barcelona designing and implementing secure, scalable AWS backend systems.
What you’ll do
- Implement new features and maintain platform functionalities using AWS services
- Own deployments end to end
- Design and implement data processing pipelines and data archive processes
- Apply serverless and event-driven patterns
- Write clean, well-tested, documented Python code
- Apply OOP and design patterns
- Participate actively in code reviews
- Build and maintain CI/CD pipelines in Azure DevOps
What they’re looking for
- University degree in Computer Science, Engineering, or equivalent
- 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale
- Deep proficiency in Python (incl. boto3) and SQL
- Solid AWS expertise: Lambda, Step Functions, Glue, Athena, API Gateway, IAM, S3
- CI/CD experience with Azure DevOps and Git
- IaC with Terraform, CloudFormation, or CDK
- Security awareness: AWS security best practices including IAM policies, encryption, and MFA
What you get
- Direct impact on life-changing R&D
- High-autonomy engineering culture with experienced peers
- Flexible working models
- Purpose-driven environment of a global science and technology company
Skills & Focus Areas
- AWS
- Python
- SQL
- Lambda
- Step Functions
- Glue
- Athena
- API Gateway
- Azure DevOps
- Terraform
- CloudFormation
- CDK
As posted by Merck KGaA
Your Role:
Ready to shape the future? As Senior Cloud Solutions Architect, you will be actively designing, implementing, and operating cloud-native backend systems and data services on AWS, contributing directly to our Data & AI platform and R&D product roadmap. You write production code, build pipelines, own deployments, and take end-to-end accountability for the solutions you deliver. If you thrive building things that matter, in a team that values quality, ownership, and continuous improvement, this role is for you.
Your key responsibilities:
- Implement new features and maintain platform functionalities using AWS services (Lambda, Step Functions, Glue, Athena, API Gateway, and more); own deployments end to end.
- Design and implement data processing pipelines, data archive processes, and RESTful/microservice integrations; apply serverless and event-driven patterns.
- Write clean, well-tested, documented Python code; apply OOP and design patterns; participate actively in code reviews.
- Build and maintain CI/CD pipelines in Azure DevOps; apply IaC principles using Terraform, CloudFormation, or CDK.
- Embed AWS security best practices and Merck security standards into every solution; ensure observability through monitoring and health checks.
In return, we offer direct impact on life-changing R&D, a high-autonomy engineering culture with experienced peers, flexible working models, and the purpose-driven environment of a global science and technology company.
Who You Are:
Mindset & Ways of Working
- Strong sense of ownership and accountability – you build it, you run it.
- Curious and eager to learn; comfortable adapting to evolving technologies and requirements.
- Collaborative team player in a cross-functional, international environment.
Experience & Qualifiscations
- University degree in Computer Science, Engineering, or equivalent.
- 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale.
- Deep proficiency in Python (incl. boto3) and SQL; background in an additional OOP language (Scala, Java, or C#) is a plus.
- Solid AWS expertise: Lambda, Step Functions, Glue, Athena, API Gateway, IAM, S3; serverless and event-driven design patterns.
- CI/CD experience with Azure DevOps and Git; IaC with Terraform, CloudFormation, or CDK.
- Security awareness: AWS security best practices including IAM policies, encryption, and MFA.
- Nice to have: containerization (Docker, Kubernetes, Fargate), Snowflake, Apache Iceberg, NoSQL DBs.
- Business-fluent English (written and spoken)
Role: Expert 3
*Todos los candidatos internos, sin importar si trabajan a tiempo completo o parcial, tendrán la oportunidad de ser considerados para las vacantes disponibles