QA Engineer

Wwshemi

San Francisco (CA)

On-site

USD 180,000 - 200,000

Full time

7 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Wwshemi in San Francisco, CA, is hiring its first QA engineer to own quality across a Kubernetes-based GPU fleet management platform. You will test conversational interfaces and web UIs alongside backend systems that manage production clusters to ensure user requests are handled accurately and safely.

You will build and run end-to-end tests, write Go integration tests for multicluster workflows, and help gate releases in CI.

Qualifications

  • 3+ years in QA, SDET, or test automation building test suites.
  • Strong Go experience writing integration tests and backend test automation.
  • Experience building end-to-end web UI tests.
  • Hands-on with Kubernetes, React, RPCs like gRPC, CI/CD, and Linux.
  • Familiarity with multicluster tooling, chaos engineering, or Kubernetes testing tools.
  • Knowledge of Prometheus, Alertmanager, Grafana, Playwright, Slack apps, or GPU/bare-metal infra is a plus.
  • Experience building test infrastructure from scratch or evaluating LLM-powered conversational products is valued.

Responsibilities

  • Test the conversational interface end to end.
  • Build evaluations for AI agent behavior and safe actions.
  • Develop end-to-end tests for the web interface and verify consistent behavior across interfaces.
  • Write Go integration tests for multicluster backend workflows.
  • Create and tear down Kubernetes test clusters across versions.
  • Verify alert delivery across monitoring and user interfaces, and ensure alerts trigger appropriately.
  • Gate releases in CI and turn bugs and incidents into regression tests.

Skills

QA engineering
SDET
Go integration tests
End-to-end web tests
Kubernetes
React
gRPC
CI/CD
Linux fundamentals
Prometheus

Tools

Kubernetes
React
gRPC
CI/CD
Playwright
Prometheus
Grafana
Slack apps

Job description

About the Role

Join an early-stage AI infrastructure company as its first QA engineer, owning quality across a Kubernetes-based GPU fleet management platform. You will test conversational and web interfaces alongside the backend systems that manage production clusters, helping ensure that user requests are handled accurately and safely.

What You'll Do
  • Test the conversational interface end to end, including command accuracy and the actions it performs on live clusters.
  • Build evaluations for AI agent behavior, checking answer quality, safe actions, and handling of ambiguous or invalid requests.
  • Develop end-to-end tests for the web interface and verify consistent behavior across interfaces.
  • Write Go integration tests for multicluster backend workflows, including installation, upgrades, and failover.
  • Create and tear down Kubernetes test clusters to validate controllers, operators, and custom resources across Kubernetes versions.
  • Verify alert delivery across monitoring and user interfaces, and ensure alerts trigger appropriately.
  • Gate releases in CI and turn bugs and incidents into regression tests.
What We're Looking For
  • At least 3 years of experience in QA, SDET, or test automation, building or delivering test suites and automation frameworks.
  • Strong Go experience writing integration tests or backend test automation, and experience building end-to-end web UI tests.
  • Hands-on experience with Kubernetes, React, RPC systems such as gRPC, CI/CD, and Linux fundamentals.
  • Experience testing infrastructure or distributed systems; familiarity with multicluster tooling, chaos engineering, or Kubernetes testing tools is useful.
  • Familiarity with Prometheus, Alertmanager, Grafana, Playwright, Slack apps, or GPU and bare-metal infrastructure is a plus.
  • Experience building test infrastructure from scratch or evaluating LLM-powered and conversational products is valued.
Compensation & Benefits

Base salary: $180,000 to $200,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

QA Engineer
QA Engineer

Digitailor • San Francisco (CA)

On-site
USD 180,000 - 200,000
QA Engineer — First in AI Infra & Kubernetes GPU Fleet
QA Engineer — First in AI Infra & Kubernetes GPU Fleet

Digitailor • San Francisco (CA)

On-site
USD 180,000 - 200,000
QA Engineer, AI Infra & Kubernetes
QA Engineer, AI Infra & Kubernetes

Wwshemi • San Francisco (CA)

On-site
USD 180,000 - 200,000
Technical Lead, QA
Technical Lead, QA

Spectro Cloud • San Jose (CA)

Hybrid
USD 280,000 - 304,000
Medical, dental, vision
Retirement plan
PTO & holidays
+3
QA Engineer
QA Engineer

Storm3 • New York (NY)

On-site
USD 160,000 - 300,000
Visa sponsorship available
Relocation support
Unlimited PTO
+3
Director of QA: Lead Automation & Release for AI Platform
Director of QA: Lead Automation & Release for AI Platform

Hamilton Barnes • California

Hybrid
USD 180,000 - 240,000
Equity
Health benefits
Hybrid work Santa Clara
QA Lead
QA Lead

Giga • San Francisco (CA)

On-site
USD 140,000 - 190,000
Dinner stipend
Wellness benefit
401(k)
+1
Software Development Engineer in Test - AI
Software Development Engineer in Test - AI

Delos Data • Palo Alto (CA)

Hybrid
USD 140,000 - 220,000
Equity
Benefits package
401k
AI-Augmented QA Engineer
AI-Augmented QA Engineer

Pavago • United States

Remote
USD 90,000 - 140,000
Director of QA - Technology Vendor
Director of QA - Technology Vendor

Hamilton Barnes • California

Hybrid
USD 180,000 - 240,000
Equity
Health benefits
Hybrid work Santa Clara