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QA Engineer

Clera

Location
Onsite (San Francisco, California)
Compensation
$180k - $200k/yr
Employment
Full-time
Level
Mid Level
Posted Today

About the role

Clera is an early-stage AI infrastructure company seeking its first QA Engineer to own quality for an AI-native platform managing GPU fleets. The role involves testing conversational workflows, Kubernetes infrastructure, and web interfaces to ensure system reliability and safe AI agent behavior.

Skills

Go Kubernetes Test automation CI/CD React gRPC Prometheus Alertmanager Grafana Linux Chaos engineering LLM evaluation Backend testing Integration testing GPU infrastructure

Full job details

About the Role

Join an early-stage AI infrastructure company as its first QA engineer, owning quality across an AI-native platform for managing GPU fleets. You will test conversational and web interfaces alongside Kubernetes infrastructure, helping ensure customer requests are handled safely and production systems remain reliable.

What You'll Do

  • Test conversational workflows end to end, checking response accuracy and actions performed on live clusters.

  • Build evaluations for AI agent behavior, including safe action handling and responses to ambiguous or invalid requests.

  • Create end-to-end tests for the web interface and verify behavior is consistent across interfaces.

  • Write Go integration tests for backend workflows such as installation, upgrades, and failover.

  • Provision and tear down Kubernetes test clusters to validate controllers, operators, and custom resources across Kubernetes versions.

  • Verify alerts reach the right destinations and fire only under appropriate conditions.

  • Gate releases through 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 skills, including backend test automation or integration testing, and experience building end-to-end tests for web UIs.

  • Experience testing or validating Kubernetes systems, plus familiarity with Linux and CI/CD platforms.

  • Experience with React and RPC protocols such as gRPC.

  • Knowledge of observability tools such as Prometheus, Alertmanager, or Grafana is useful.

  • Experience with multicluster tooling, Kubernetes testing, chaos engineering, GPUs, or bare-metal infrastructure is beneficial.

  • Background testing conversational or LLM-powered products, building agent evaluations, or testing Slack apps is a plus.

Compensation & Benefits

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

Location

On-site in San Francisco, California.