Senior Cloud Engineer - AI-ML Platform

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.

You bring 5 or more years of hands-on cloud engineering experience, with strong expertise in AWS services including Elastic Container Service, Elastic Kubernetes Service, Virtual Private Cloud networking, and managed streaming solutions.

You have proven experience provisioning and managing cloud infrastructure as code using Terraform and/or CloudFormation, and you are comfortable owning production environments end-to-end.

You are skilled in building and maintaining CI/CD pipelines (for example using Azure DevOps) and apply disciplined version-control practices in collaborative engineering environments.

You have hands-on experience designing and operating streaming platforms such as Apache Kafka or equivalent cloud-managed alternatives, with a focus on scalability and resilience.

You implement platform security with confidence — including Transport Layer Security, secrets management, access controls, and authentication mechanisms such as JSON Web Tokens, OAuth, and LDAP.

You have experience deploying, scaling, and monitoring AI/ML workloads and model-serving APIs, and you collaborate effectively with AI/ML engineers and data scientists to bring models into production.

You hold a degree in Computer Science, Software Engineering, or a related field, or bring equivalent professional experience; familiarity with multi-cloud environments or Azure AI/ML services is a plus.