Senior Cloud-Native Ops Engineer

Role purpose

You will design, build, and run cloud-native platform services that support data science, engineering, and AI/ML teams. The role sits between Cloud Engineering, DevOps, and MLOps, with a strong focus on AWS, automation, and scalable AI platforms.

Main responsibilities

• Manage and design AWS infrastructure (Lambda, S3, Kinesis, API Gateway, containers, networking, landing zones).
• Build Infrastructure as Code using Terraform.
• Create and operate platforms for ML/AI: model training, serving, versioning, monitoring, Jupyter environments, APIs for inference, and GenAI/LLM use cases.
• Automate data pipelines using Airflow, Spark, and Python.
• Build and improve CI/CD with GitHub Actions, Jenkins, or AWS tools.
• Handle incidents, root-cause analysis, user support, and on-call when needed.
• Collaborate internationally and continuously improve systems and documentation.

Required profile

• Strong AWS experience.
• Python, data/ML ecosystem knowledge.
• Docker, Kubernetes, Terraform.
• API-driven architectures.
• Experience with Airflow, Spark, GitHub/Bitbucket, AWS CI/CD tools, Lambda, S3, Kinesis.
• Understanding of Generative AI and LLMs.

Nice to have

• MLflow or model management tools.
• AWS SageMaker.
• Basic Dutch.