Platform Engineer
Core
Building and scaling the infrastructure for a virtual AI lab that turns biological foundation models into production systems for drug discovery.
Role type
Senior Platform Engineer (Infrastructure)
Builds
Scalable cloud infrastructure, Kubernetes clusters, and ML training/inference pipelines for pharma clients.
Domain
Biotechnology / AI-driven drug discovery
Deliverable
infrastructure
Required skills
Kubernetes, Docker, cloud platforms (AWS/GCP/Azure), GPU workload management, CI/CD, database management, infrastructure-as-code, Python, Bash
Preferred skills
Multi-tenant architecture design, autoscaling, service isolation, AirFlow, MLFlow
Technologies
Kubernetes, Docker, AWS, GCP, Azure, Python, Bash, AirFlow, MLFlow
Responsibilities
Run and scale Kubernetes clusters including GPU workloads, own cloud infrastructure and infrastructure-as-code, support ML training and inference pipelines, manage CI/CD and observability, handle databases and storage migrations, build automation scripts.
Seniority
Senior, hands-on IC
