Rakuten Rewards

Rakuten Rewards

QA Automation Engineer

San Mateo, California

Sponsorship not specified$96k-$164kDetected 28 days ago
JavaScriptTypeScriptPythonJavaGitSQLDockerKubernetesCI/CDGitHub ActionsGraphQLRESTOpenAPILLMsAgentic AIFigmaLoad TestingTest AutomationCommunicationCollaboration

About the role

  • We are seeking a proactive Quality Engineer to join our dynamic team in San Mateo.
  • In this role, you will be instrumental in ensuring the quality of our web applications, mobile apps, and backend services.
  • This is an exciting opportunity for someone who thrives in fast-evolving environments, excels in containerized infrastructure, and wants to leverage AI Agents to contribute significantly to software excellence.

Responsibilities

  • Infrastructure & CI/CD: Deploy and validate services in containerized environments (Docker, Kubernetes). Integrate AI-driven testing into CI/CD pipelines to enable continuous, automated quality signals on every change.
  • Agent-Based Execution & Validation: Utilize AI agents to execute user flows, perform exploratory testing, and validate UI and system behavior across environments.
  • Apply AI-driven visual validation against Figma designs to ensure design-to-implementation fidelity.
  • Backend & Performance Testing: Validate complex backend behavior, including event-driven workflows, message queues, async pipelines, and data integrity.
  • Use AI-assisted techniques to detect anomalies, validate data integrity (SQL), and surface system-level issues.
  • Ability to generate tests from design, perform agent-driven exploratory testing, and use AI for semantic visual validation and intelligent defect triage across devices and browsers.
  • Partner with cross-functional teams to align on product goals and release readiness.
  • Build, maintain, and optimize UI, API, and end-to-end automated tests using Python, Java, or JavaScript/TypeScript.
  • Utilize AI agents to execute user flows, perform exploratory testing, and validate UI and system behavior across environments.
  • We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.

Requirements

  • 3 to 5 years of experience in Quality Assurance.
  • 2+ years of experience in Test Automation (Web/Mobile/API).
  • 1+ years of experience with Docker/Kubernetes.
  • Bachelor's degree in computer science, Engineering, or related field (or equivalent experience) Required.
  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
  • The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • AI Proficiency: Proven experience integrating LLMs and AI agents into QA workflows to drive automation and efficiency, including AI-assisted test generation, failure analysis, and defect triage.
  • AI-Native Visual & UI Testing: Experience leveraging Figma as a source of truth and applying AI agents (e.g., Claude) with platforms like BrowserStack to automate UI validation.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Nice to have

  • Proficiency in Python, Java, or JavaScript/TypeScript, with the ability to use LLMs to generate and maintain test automation.
  • Experience testing OpenAPI/REST APIs (GraphQL a plus) and validating data using SQL.
  • Programming & AI-First Automation: Proficiency in Python, Java, or JavaScript/TypeScript, with the ability to use LLMs to generate and maintain test automation.

Compensation

  • At the time of posting, Rakuten expects the base compensation for this role to be within the range shown below.

Benefits

  • AI-First Quality Ownership: Own end-to-end quality for assigned features by defining test strategy, leveraging AI to generate test coverage, and ensuring continuous validation across the development lifecycle.
  • Actively leverage AI coding assistants and autonomous test agents to improve efficiency, scalability, and coverage.
  • Collaboration & Strategy: Ability to develop practical, feature-level test strategies, clearly communicate coverage and risks, and demonstrate an eagerness to adopt emerging AI-driven engineering practices.
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