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# Platform Engineer

- **Company:** Novartis
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Continuous Integration, Dependency Injection, Distributed Systems, Github, Python (Programming Language), Azure DevOps Pipelines, Data Logging, Multi-Cloud, HybridCloud, AI Platforms, Kubernetes, AWS Fargate, Machine Learning Operations, Terraform, Data Pipelines, Devsecops, Docker, Jenkins
- **Published:** July 12, 2026
- **Apply:** https://www.jobleads.com/es/job/ee8ab7ff692918e05d94975fc1d50fbc4

## About the Role

* Deep experience in AWS services (EKS, SageMaker, Lambda, Glue, Step Functions, Fargate)
 * Working knowledge of Azure, particularly Azure DevOps and integration tooling
 * Proficient in Terraform, Helm, Docker, Kubernetes
 * Experience with CI/CD using GitHub Actions, Jenkins, or Azure DevOps
 * Strong in distributed computing architecture
 * Hands-on understanding of dependency injection and late-binding systems
 * Strong scripting (Python, Bash) and automation mindset
 * Background in healthcare, life sciences, or related regulated industries
 * Experience building ML/AI platforms for model deployment, experimentation tracking, and governance
 * Exposure to hybrid or multi-cloud environments

## Description

* Design and build secure, scalable, and resilient data & ML platforms to enable rapid AI experimentation and deployment.
 * Set up and optimize infrastructure on AWS (SageMaker, EKS, Lambda, Glue, Step Functions, Fargate) and Azure DevOps pipelines. Implement CI/CD workflows, monitoring, and logging for MLOps.
 * Own the end-to-end environment lifecycle including provisioning, destruction, and rebuild of infrastructure and pipelines.
 * Design for distributed computing, dynamic late binding, and dependency injection across hybrid cloud environments.
 * Collaborate with data engineers and scientists to deploy and optimize high-performance data pipelines using modern orchestration tools.
 * Partner with AI engineers, DevSecOps, data scientists, and delivery managers to ensure fast onboarding and alignment with business objectives.


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