Senior SDET for AI-Driven Testing & Automation

Mastercard

Ireland

On-site

EUR 90,000 - 120,000

Full time

8 days ago
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Job summary

Mastercard is seeking a Senior Software Engineer in Test (SDET) to lead automation for agentic AI-powered platforms. This hands-on role requires deep automation expertise, solid software engineering fundamentals, and production-grade testing across APIs, UI, and data pipelines.

You will design scalable test strategies, build robust automation frameworks, and partner with engineers, product managers, and data/AI teams to ensure quality from design to release.

Qualifications

  • Proven experience in automation testing for distributed systems.
  • Experience with AI-enabled or agentic testing is a plus.
  • Strong understanding of CI/CD and test strategies.
  • Excellent communication and collaboration skills in cross-functional teams.
  • Experience working in Agile environments.

Responsibilities

  • Own end-to-end quality engineering for agentic applications and APIs.
  • Design, develop, and maintain robust automation frameworks for UI, API, and integration testing.
  • Define test strategies for AI/agent-based systems, including workflow validation and reliability.
  • Build automated quality gates for CI/CD pipelines and release confidence.
  • Collaborate with software engineers, product managers, architects, and data/AI teams.
  • Create meaningful test data, identify defects early, and drive root-cause analysis.
  • Evaluate performance, observability, and scalability.

Skills

Automation testing
Automation framework design
Code quality

Tools

Playwright
Selenium
Cypress
REST Assured

Job description

Mastercard is seeking a Senior Software Engineer in Test (SDET) to lead automation for agentic AI-powered platforms. This hands-on role requires deep automation expertise, solid software engineering fundamentals, and production-grade testing across APIs, UI, and data pipelines.

You will design scalable test strategies, build robust automation frameworks, and partner with engineers, product managers, and data/AI teams to ensure quality from design to release.

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