# Platform Engineer

> Helical · London, United Kingdom (Hybrid) · Full-time · Posted 2026-04-11

**Workplace:** hybrid

## 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**

-   3+ years in platform / DevOps / infra
-   Strong Kubernetes, Docker, cloud (AWS/GCP/Azure)
-   Solid Python
-   Experience with CI/CD, databases, infra-as-code
-   Comfortable debugging production systems
-   High ownership, low ego

**Nice to Have**

-   GPU workloads / ML infra
-   Observability tools (Prometheus, Grafana, etc.)
-   Security/compliance (SOC2, HIPAA)
-   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

## Apply

[Apply at Helical](https://apply.workable.com/helical/j/27E02161C5/apply)

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