Software Development Test Engineer (SDET), KSM

K
Keeper SecurityCybersecurity software
Location: Remote, US; 100% remote positionFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years of experience in test automation or software development in test
Required Skills
DockerPythonJavascriptKubernetesTypeScriptCI/CDPlaywright

Requirements

  • Have 3+ years of experience in test automation or software development in test.
  • Have strong programming skills in one or more languages such as Python or JavaScript/TypeScript.
  • Have experience owning the design and evolution of automation frameworks or test systems.
  • Have hands-on experience with automation frameworks such as Playwright or Pytest.
  • Have experience testing APIs, SDKs, and backend services in cloud environments; AWS is preferred.
  • Have strong experience integrating automation into CI/CD pipelines.
  • Be familiar with Docker and Kubernetes.
  • Understand secure authentication concepts, including SSO, OAuth, and SAML.
  • Have strong debugging, analytical, and cross-team collaboration skills.
  • Experience testing secrets management, security, or DevOps platforms is preferred.
  • Familiarity with RESTful or GraphQL APIs and exposure to performance or load testing are preferred.
  • A bachelor's degree in Computer Science, Engineering, or equivalent practical experience is preferred.

Responsibilities

  • Design, develop, and maintain automation frameworks using tools such as Playwright and Pytest.
  • Develop reusable automation libraries and custom tooling for API, integration, and end-to-end testing.
  • Build automated tests for KSM APIs, SDKs, and cloud-hosted services.
  • Integrate automated test execution into CI/CD pipelines, such as GitHub Actions.
  • Manage containerized test environments using Docker and Kubernetes.
  • Validate secure authentication and access workflows, including SSO, OAuth, and SAML.
  • Analyze automation failures and drive long-term stability improvements.
  • Partner with engineering and DevOps teams to embed testability into system design.
  • Use AI-assisted tools such as Claude, ChatGPT, or GitHub Copilot to improve test development, debugging, root-cause analysis, documentation, and workflow efficiency.
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