Platform Engineer

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