Senior AI Platform Engineer – On-Prem & Cloud (Hardware)

Voltai; Palo Alto (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Voltai is seeking a backend/DevOps focused engineer to deliver our AI platform to top semiconductor and electronics companies. You will own deployments across SF Bay Area offices and help port features from cloud to on‑prem environments, operating on a mix of AWS, Azure, GCP, and OpenShift.

You should bring 5+ years of backend or infra experience, familiarity with agent development and RAG, and strong systems design.

Qualifications

• 5+ years in backend engineering, full‑stack development, or infrastructure/DevOps.
• Familiarity with agent development and RAG.
• Strong systems design and debugging instincts.
• Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools.
• Willingness to travel, mostly in California.

Responsibilities

• Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara.
• Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet.
• Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they’re not.
• Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level.

Skills

Backend engineering

Full-stack development

DevOps

System design

Docker

Cloud infrastructure

IaC

Travel willingness

Agent development

RAG

Tools

Docker

Kubernetes

Terraform

AWS

Azure

GCP

Job description

Voltai is seeking a backend/DevOps focused engineer to deliver our AI platform to top semiconductor and electronics companies. You will own deployments across SF Bay Area offices and help port features from cloud to on‑prem environments, operating on a mix of AWS, Azure, GCP, and OpenShift.

You should bring 5+ years of backend or infra experience, familiarity with agent development and RAG, and strong systems design.