QA Automation Engineer

## QA Automation Engineer Apply:
San Mateo, California:
Full time:
Posted Today:
1038634
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* Job Description:

** Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.  

Rakuten is a leading shopping platform that offers Cash Back on purchases from your favorite brands. By partnering with thousands of brands in apparel, beauty and wellness, dining, grocery, travel, on-demand services, subscription boxes, and more, Rakuten helps members save and get more on everyday purchases. Since its founding in 1999, Rakuten has become the largest and most rewarding shopping program, and its members have earned $4.6 billion in Cash Back just for shopping through Rakuten.

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* Job Summary:

** We are seeking a hands-on QA Automation Engineer to join the Productivity Engineering organization at Rakuten Rewards. You will help ensure the quality of backend services, APIs, event-driven systems, and data pipelines while building automation and AI-powered tools that improve testing efficiency and release confidence. In this individual contributor role, you will combine software development skills with quality engineering expertise to create reusable validation capabilities, develop AI-assisted testing workflows, and help engineering teams identify defects earlier.

You will work closely with developers, QA, product, and Dev Ops teams throughout the development lifecycle.

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* Key Responsibilities:

*** Quality Ownership:
Own end-to-end quality for assigned backend features — define the test strategy, expand coverage with AI tooling, and keep validation continuous through the development lifecycle. Partner with engineering and product on requirements and release readiness.
* Risk Detection:
Analyze requirements, service behavior, and production signals to surface edge cases, coverage gaps, missing telemetry, flaky tests, and configuration drift early.
* Backend Test Automation:
Build and maintain API, integration, and end-to-end tests in Java or a comparable language. Use AI coding assistants and test agents to accelerate development, widen coverage, and reduce maintenance.
* Infrastructure and CI/CD:
Deploy and validate backend services in Docker and Kubernetes. Integrate automated tests and AI-assisted checks into Git Hub release workflows so every change returns actionable quality feedback.
* Agent-Based Testing:
Develop AI agents that exercise API workflows, generate test data, run exploratory backend testing, and validate interactions across services and databases. Verify business rules, API contracts, and data consistency across environments.
* Distributed Systems and Performance:
Validate microservices, event-driven workflows, message queues, and asynchronous pipelines, including retries, duplicate events, and failure recovery. Use SQL and AI-assisted analysis to detect data anomalies, and run load tests to assess latency, throughput, and scalability.
* Production Troubleshooting:
Independently investigate production issues using logs, metrics, traces, and tools such as Bits AI. Group related failures, support defect triage, and drive root cause analysis. Validate findings, communicate release risk clearly, and promote effective AI-assisted quality practices across engineering teams.  
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* Qualifications:…