AI Platform DevOps Engineer: GPU Inference & Observability

OpenKrill; United States; Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Open lines of communication

Job summary

Zimperium is seeking an AI Systems Engineer to own delivery, model serving, routing, and observability across cloud, on‑prem, edge, and air‑gapped environments. You will manage CI/CD pipelines, governance for AI assets, and cost attribution while ensuring secure, compliant, and scalable AI workloads across multi‑environment runtimes.

The role emphasizes building automated delivery pipelines, high‑performance inference, and deep observability with telemetry and cost visibility for every AI

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 8+ years in DevOps, MLOps, platform, or observability engineering.
• Hands-on experience with CI/CD and GitOps tooling.

Responsibilities

• Own DevOps and delivery for AI workloads and CI/CD/CV pipelines.
• Manage governance, discovery, and registries for AI assets.
• Oversee resource, cost management and FinOps for tenants.
• Own the full observability stack: metrics, logs, traces, dashboards.
• Automate GitOps-based delivery with policy gates.
• Ensure per-tenant attribution of telemetry and cost signals.

Job description

Zimperium is seeking an AI Systems Engineer to own delivery, model serving, routing, and observability across cloud, on‑prem, edge, and air‑gapped environments. You will manage CI/CD pipelines, governance for AI assets, and cost attribution while ensuring secure, compliant, and scalable AI workloads across multi‑environment runtimes.

The role emphasizes building automated delivery pipelines, high‑performance inference, and deep observability with telemetry and cost visibility for every AI