Senior AWS Cloud Architect

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

• A master's degree in computer science, engineering, data science or a comparable discipline, or equivalent professional experience.
• Five to eight years of hands on experience in AWS cloud architecture and engineering, including at least three years working with data warehousing, data lake and cloud native analytics concepts.
• Practical experience with AWS artificial intelligence and machine learning services, including Amazon SageMaker, Amazon Bedrock, AWS Lambda, API Gateway, Glue, Step Functions, Athena, Redshift and EMR, or comparable enterprise platforms.
• Experience designing AI ready architectures with secure data access, model integration, prompt and API orchestration, retrieval augmented generation patterns, observability and responsible AI guardrails.
• Strong expertise in APIs, application deployment, integration patterns, continuous integration and continuous deployment using Azure DevOps and Git, plus infrastructure as code using CloudFormation or comparable tooling.
• At least three years of experience with container architectures, Docker and Kubernetes on AWS, together with strong knowledge of services such as S3, Redshift, RDS, Glue, Step Functions, Lambda and EMR.
• Strong Python, SQL and PySpark skills, with experience building scalable applications, data processing pipelines, monitoring, alerting, health checks and production grade solutions.
• Strong communication and stakeholder engagement skills, experience in agile delivery, mentoring and cross team collaboration, plus professional fluency in English. AWS certifications are highly desirable.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!