Senior Data Infrastructure Engineer — Data Backbone

Archer; San Jose (CA); On-site; USD 182,000 - 228,000; Full time

Job summary

Archer in San Jose, California seeks a Senior Staff Engineer to own and scale the data infrastructure powering its ML and analytics. You will architect and operate Trino, Ray, and JupyterHub on Kubernetes, and implement GitOps with ArgoCD and Terraform.

Ideal candidates will lead with experience, write Go or Python for Kubernetes extensions, and handle on-call reliability. US citizenship or equivalent is required; base pay aligns with the posted range.

Qualifications

• Bachelor's degree in CS, Engineering, or equivalent practical experience.
• Experience in data-driven architectures and large-scale data processing.
• Leadership and on-call experience with uptime and reliability focus.

Responsibilities

• Own and architect data tooling including Trino, Ray, and JupyterHub on Kubernetes.
• Drive GitOps and automation with ArgoCD and Terraform.
• Build observability systems with VictoriaMetrics and Vector at scale.
• Maintain MLflow integration with compute and storage layers.
• Identify bottlenecks and optimize infrastructure for performance.
• Participate in on-call rotations for the data stack.

Skills

Kubernetes

Go/Python

On-call leadership

Data infra design

Automation tooling

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

ArgoCD

Terraform

JupyterHub on Kubernetes

Trino

Ray

VictoriaMetrics

Vector

MLflow

Job description

Archer in San Jose, California seeks a Senior Staff Engineer to own and scale the data infrastructure powering its ML and analytics. You will architect and operate Trino, Ray, and JupyterHub on Kubernetes, and implement GitOps with ArgoCD and Terraform.

Ideal candidates will lead with experience, write Go or Python for Kubernetes extensions, and handle on-call reliability. US citizenship or equivalent is required; base pay aligns with the posted range.