# Platform Engineer

**Company:** [Helical](http://jobs.workable.com/companies/m2zvd3vVfc9fF169bLwi4k.md)
**Location:** Luxembourg, Luxembourg
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/e1ccf9a5-71ae-4b67-b172-7cac01fdb14f)

## Description

Helical is the AI-native lab for biology.

We turn biological foundation models into production systems for discovery—so scientists can run experiments _in silico_ at the speed of inference.

We’re already deployed with top pharma, supporting work from target identification to biomarker discovery.

**The Role**

We’re hiring a **Platform Engineer** to build and scale the infrastructure behind our virtual AI lab.

This is a hands-on role:  
debugging Kubernetes one moment, improving architecture the next, shipping to production throughout.

You’ll be working on the system that makes AI-driven drug discovery actually usable at scale.

**What You’ll Do**

-   Run and scale Kubernetes (incl. GPU workloads)
-   Own cloud infrastructure and infra-as-code
-   Support ML training & inference pipelines
-   Manage CI/CD, observability, and deployments
-   Handle databases, storage, and migrations
-   Build automation (Python/Bash)
-   Work closely with ML, backend, and product

**What We’re Looking For**

-   4+ years in platform / DevOps / infra
-   Strong Kubernetes, Docker, cloud (AWS/GCP/Azure)
-   GPU workloads / ML infra
-   Experience designing & operating **multi-tenant architectures** with **strict tenant isolation**
-   Familiarity with **autoscaling** & **service isolation**
-   Experience with CI/CD, databases, infra-as-code
-   Comfortable debugging production systems

**Nice to Have**

-   Security/compliance (SOC2, HIPAA)
-   Exposure to AirFlow and MLFlow for scientific workflows
-   MSC/PHD in Machine Learning
-   Biotech / pharma experience

**Why Helical**

-   Live with top pharma
-   High ownership, small team
-   Work at the intersection of AI, biology, and systems
-   Build something that actually changes how medicine is made
-   High ownership, low ego