Senior AI Infra Engineer — Multi-Cloud Data Systems

Talanto; San Francisco, Northern (CA, KY); Hybrid; USD 58,000 - 87,000; Full time

Job summary

Talanto is seeking an Infrastructure Engineer in San Francisco to build secure, scalable deployments across AWS, GCP and Azure, with Kubernetes, observability, IaC and multi‑cloud orchestration at the core. You’ll design and own data infrastructure that ingests and normalizes large volumes of structured and unstructured data in real time, enabling AI products to operate with trust and context.

We value engineers who have owned complex systems in early‑stage settings and can drive foundation

Qualifications

• Deep cloud experience across AWS, GCP, or Azure.
• Kubernetes or containers at meaningful scale.
• Cloud platform or data infrastructure ownership.
• Early-stage or 0→1 experience.
• Fast career progression and expanding scope.

Responsibilities

• Build and scale secure deployments across AWS, GCP, and Azure with Kubernetes and IaC.
• Own data infrastructure to ingest and normalize large volumes of data in real time.
• Drive foundational systems from the ground up in an early-stage environment.

Skills

AWS

GCP

Azure

Kubernetes

Multi-cloud

Observability

Infrastructure as Code

Data infrastructure ownership

Job description

Talanto is seeking an Infrastructure Engineer in San Francisco to build secure, scalable deployments across AWS, GCP and Azure, with Kubernetes, observability, IaC and multi‑cloud orchestration at the core. You’ll design and own data infrastructure that ingests and normalizes large volumes of structured and unstructured data in real time, enabling AI products to operate with trust and context.

We value engineers who have owned complex systems in early‑stage settings and can drive foundation