QA Engineer

Engg; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Engg is hiring a foundational QA Engineer to own end-to-end quality for a GPU fleet management platform spanning a web UI, Slack, and an AI-native interface. You will shape quality from day one, define testing strategies, and drive robust automation across real Kubernetes clusters.

You will design tests for conversation flows, agent behavior, and multi-cluster operations, with Go-based integration tests and Playwright-driven UI validation.

Qualifications

• 3+ years of experience in QA, SDET, or test automation roles building or delivering test suites and automation frameworks.
• Proficiency in Go, with hands-on experience writing integration tests against real infrastructure.
• Strong Kubernetes knowledge, including testing controllers, operators, and CRDs against live clusters.
• Solid Linux fundamentals and experience with CI/CD platforms such as GitHub Actions or similar.
• Experience building end-to-end tests for web UIs, ideally using frameworks like Playwright.
• Familiarity with monitoring and alerting tools such as Prometheus, Alertmanager, and Grafana.
• Exposure to multicluster tooling, GitOps workflows, or infrastructure-as-code practices.
• Background testing LLM-powered or conversational products, including building evals, is a strong plus.
• Experience with chaos engineering tools and Kubernetes testing frameworks is a plus.
• Prior experience as a first QA hire at an early-stage company is a plus.

Responsibilities

• Design and execute end-to-end tests for conversation flows, command accuracy, and real cluster operations across Slack and the web UI.
• Build evaluation frameworks for agent behavior, validating correct answers, safe actions, and graceful handling of ambiguous or malformed requests.
• Write integration tests in Go covering multicluster backend operations including install, upgrade, and failover scenarios.
• Spin up and tear down Kubernetes test clusters on demand, validating controllers, operators, and CRDs across multiple Kubernetes versions.
• Verify alerting systems fire correctly, route to Slack and the UI, and only trigger when appropriate.
• Gate releases in CI/CD pipelines and convert bugs and incidents into regression tests.

Skills

Go

Kubernetes

Linux

CI/CD

Playwright

Prometheus

Grafana

Multicluster tooling

GitOps

IaC

LLM testing

Chaos engineering

First QA hire

Tools

GitHub Actions

Job description

ABOUT THE ROLE

This is a foundational, first-hire QA role at an early-stage AI infrastructure company building a GPU fleet management platform that operates across a web UI, Slack, and an AI-native interface. You will own quality end-to-end, from agent behavior and conversational accuracy to real Kubernetes cluster operations, and you will shape how quality is practiced from day one.

WHAT YOU'LL DO

• Design and execute end-to-end tests for conversation flows, command accuracy, and real cluster operations across Slack and the web UI.
• Build evaluation frameworks for agent behavior, validating correct answers, safe actions, and graceful handling of ambiguous or malformed requests.
• Write integration tests in Go covering multicluster backend operations including install, upgrade, and failover scenarios.
• Spin up and tear down Kubernetes test clusters on demand, validating controllers, operators, and CRDs across multiple Kubernetes versions.
• Verify alerting systems fire correctly, route to Slack and the UI, and only trigger when appropriate.
• Gate releases in CI/CD pipelines and convert bugs and incidents into regression tests.

WHAT WE'RE LOOKING FOR

• 3+ years of experience in QA, SDET, or test automation roles building or delivering test suites and automation frameworks.
• Proficiency in Go, with hands-on experience writing integration tests against real infrastructure.
• Strong Kubernetes knowledge, including testing controllers, operators, and CRDs against live clusters.
• Solid Linux fundamentals and experience with CI/CD platforms such as GitHub Actions or similar.
• Experience building end-to-end tests for web UIs, ideally using frameworks like Playwright.
• Familiarity with monitoring and alerting tools such as Prometheus, Alertmanager, and Grafana.
• Exposure to multicluster tooling, GitOps workflows, or infrastructure-as-code practices.
• Background testing LLM-powered or conversational products, including building evals, is a strong plus.
• Experience with chaos engineering tools and Kubernetes testing frameworks is a plus.
• Prior experience as a first QA hire at an early-stage company is a plus.

LOCATION

On-site in San Francisco, CA.

Visa sponsorship is not available.