Sr Staff Engineer, Data Infrastructure
Core
Architect and manage the lifecycle of high-throughput data tools (Trino, Ray, JupyterHub) on Kubernetes to provide a seamless, self-service environment for data scientists and ML teams.
Role type
Sr Staff Engineer, Data Infrastructure
Builds
The "Data Backbone" infrastructure powering Data Engineering and ML teams for an all-electric vertical takeoff and landing aircraft company.
Domain
Aerospace / Data Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes (scheduling, affinity, resource quotas), Trino (Presto), Ray, Terraform, ArgoCD, VictoriaMetrics, Vector, MLflow, Go, Python
Preferred skills
Experience with persistent volumes and data gravity, ability to write Kubernetes Operators, experience with stateful data environments
Technologies
Kubernetes, Trino, Ray, Terraform, ArgoCD, VictoriaMetrics, Vector, MLflow, JupyterHub, Go, Python
Responsibilities
Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes; Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform; Build high-cardinality monitoring systems using VictoriaMetrics and Vector; Maintain and optimize MLflow for model tracking; Identify performance bottlenecks and implement infrastructure-level optimizations; Participate in on-call rotations for the data stack.
Seniority
Sr Staff, hands-on IC with leadership scope