Platform Engineer

Novartis

Barcelona, Spain

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.jobleads.com

Tech stack

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

+10 more

HybridCloud AI Platforms Kubernetes AWS Fargate Machine Learning Operations Terraform Data Pipelines Devsecops Docker Jenkins

Job 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.

Requirements

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