Cyberinfrastructure Engineer
Core
Build and operate advanced cyberinfrastructure for scientific instruments investigating fundamental mysteries of nature, including data-intensive high-throughput computing facilities for particle physics and AI-enabled research.
Role type
Senior IC cyberinfrastructure engineer (distributed systems & AI infrastructure)
Builds
Data-intensive computing facilities, distributed storage, GPU platforms, and agentic AI infrastructure for physics analysis
Domain
High-energy physics + distributed computing + AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
Linux systems administration, Kubernetes, Ceph distributed storage, containerization (Docker), GitOps, hardware support, network diagnostics, Prometheus/Grafana monitoring, Puppet/Ansible configuration management
Preferred skills
Experience with HTCondor, Rucio, ServiceX, Model Context Protocol (MCP), large language model hosting, vendor support processes
Technologies
Kubernetes, HTCondor, Ceph, Rook, ZFS, Prometheus, Grafana, Puppet, Ansible, Docker, Flux, NVIDIA Triton, Model Context Protocol (MCP)
Responsibilities
Operate and scale Ceph distributed storage on Kubernetes; perform on-site hardware installation and maintenance in data centers; deploy and manage GPU platforms for ML/AI workloads; maintain monitoring dashboards and alerting systems; support agentic AI workflows and credential services; contribute reusable infrastructure bundles to deployment factories
Seniority
Mid-level to Senior, hands-on IC
