DevOps / Cloud Engineer
Core
Center of excellence for research computing, defining standards, developing tooling, and migrating codebases to support scalable, secure, and efficient solutions for research scientists.
Role type
Senior DevOps / Cloud Engineer (Platform Engineering)
Builds
Scalable, secure, and efficient research computing infrastructure and standard tooling for AI/LLM systems.
Domain
Healthcare and Life Science / Cloud Infrastructure / AI/LLM Systems
Deliverable
production ML models | infrastructure
Required skills
GKE and Kubernetes (multi-cluster, RBAC, Workload Identity), Weaviate vector database, GCP (IAM, VPC, Secret Manager), Terraform, GitOps (ArgoCD), observability (Grafana, LangFuse, LangSmith), incident response, mentoring
Preferred skills
LangFuse or LangSmith experience, regulated industry background, customer-facing consulting experience, Life Science domain knowledge
Technologies
Google Kubernetes Engine (GKE), Weaviate, Elasticsearch, Opensearch, GCP, Terraform, ArgoCD, Flux, Grafana, LangFuse, LangSmith
Responsibilities
Manage and operate GKE clusters at platform level including upgrades and resource optimization; Own and scale Weaviate vector database infrastructure for RAG-based AI systems; Design and enforce security across the platform using GCP IAM and VPC; Build and maintain end-to-end observability for LLM-based systems; Own infrastructure as code using Terraform and manage GitOps workflows; Take production ownership of the platform including incident response and reliability; Participate in customer-facing engagements including architecture reviews; Support and mentor junior engineers on platform standards.
Seniority
Senior, hands-on IC