Senior Platform Engineer - MLOps / Kubernetes / Docker / Python

Senior Platform Engineer – Customer Facing - MLOps / Kubernetes / Docker / Python

We're partnered with a genuinely exciting open source company, who are focused on developing an MLOps frameworks that allows Machine Learning engineers and Data Scientists to build, reproduce, and deploy ML pipelines.

This is a permanent full time role, and can be undertaken on a 100% remote basis (+/- 2 hours of CET)

Please note: you must have the full right to work in the country you reside.

They're looking for an experienced infrastructure engineer who thrives in Kubernetes and can translate complex enterprise needs into scalable, resilient systems.

In this role, you’ll not only maintain clusters but build core product features like workload managers and schedulers, while guiding advanced customers in architecting their MLOps stacks.

What you’ll do:

• Build infrastructure-heavy product features for SaaS and hybrid cloud deployments
• Own the ZenML Pro infrastructure: scalable, resilient, secure
• Lead enterprise PoCs and deployments in complex environments
• Simplify Kubernetes for data scientists

Your Toolkit:

Kubernetes (CKA level), Docker, Terraform, Helm, Python, Go, AWS/GCP/Azure, PostgreSQL, FastAPI

Your background:

• Kubernetes native with deep operational knowledge

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Master of Infrastructure as Code
• Comfortable coding production-quality features
• Customer-focused problem solver

The roles impact:

You’ll bridge product and real-world deployments, building the engine behind ML pipelines for thousands of users while shaping the future of open-source MLOps.

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on smouland@eu-recruit.com

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