QA Engineer — First in AI Infra & Kubernetes GPU Fleet

Digitailor; San Francisco (CA); On-site; USD 180,000 - 200,000; Full time

Job summary

Digitailor is seeking a QA engineer to own quality across a Kubernetes-based GPU fleet management platform. You will test conversational and web interfaces alongside backend systems that manage production clusters to ensure accurate and safe user interactions.

The role focuses on end-to-end testing, integration tests in Go, and building robust test infrastructures for multi-cluster environments. On-site in San Francisco, the position includes base compensation and standard benefits.

Qualifications

• 3+ years in QA, SDET, or test automation.
• Experience writing integration tests or backend test automation.
• Hands-on testing for Kubernetes, React, RPC systems (gRPC).
• Familiarity with CI/CD, Linux fundamentals, and multicluster tooling is a plus.

Responsibilities

• Test conversational and web interfaces end-to-end across live clusters.
• Build evaluation suites for AI agent behavior and safe actions.
• Develop Go integration tests for multicluster backends and CI gating.
• Create and tear down Kubernetes test clusters for validation.
• Verify alert delivery via monitoring dashboards and UIs.

Skills

Go integration tests

Kubernetes

End-to-end web UI tests

CI/CD

Linux fundamentals

Tools

gRPC

Prometheus

Grafana

Playwright

Slack apps

Job description

Digitailor is seeking a QA engineer to own quality across a Kubernetes-based GPU fleet management platform. You will test conversational and web interfaces alongside backend systems that manage production clusters to ensure accurate and safe user interactions.

The role focuses on end-to-end testing, integration tests in Go, and building robust test infrastructures for multi-cluster environments. On-site in San Francisco, the position includes base compensation and standard benefits.