We are building the foundational technology layer for Novartis’ next‑generation AI/ML‑driven Advanced Analytics capability. As a Platform Engineer, you will play a pivotal role in setting up the technical scaffolding that enables data scientists and AI engineers to scale their efforts rapidly and securely. This role requires hands‑on engineering depth, a strategic mindset, and a passion for enabling AI‑driven transformation in the healthcare domain.

No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta posibilidad.
Key Responsibilities

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- 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. xcskxlj

- Partner with AI engineers, DevSecOps, data scientists, and delivery managers to ensure fast onboarding and alignment with business objectives.

Technical Skills & Requirements

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- 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

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📌 Sr. Platform Engineer (Barcelona)
🏢 Tech Mahindra
📍 Barcelona