Senior QA Automation Engineer (Fintech)

TL;DR

Senior QA Automation Engineer (Java/JavaScript): Building automation coverage from the ground up for a high-priority payment platform migration with an accent on shift-left testing, API validation, and end-to-end payment flows. Focus on designing automated frameworks to precede manual QA and development, ensuring seamless integration across OMS and e-commerce platforms.

Location: Remote (Argentina, Brazil, Colombia, Georgia, Poland, Ukraine)

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Design and maintain automated test frameworks using Java and/or JavaScript.
• Implement shift-left automation by building test suites ahead of manual QA and development milestones.
• Develop E2E, integration, and API tests for payment flows involving OMS and Salesforce Commerce Cloud.
• Validate critical payment scenarios including transactions, token migration, refunds, and chargebacks.
• Integrate automated suites into CI/CD pipelines for continuous feedback.
• Provide war room support during go-live and hypercare phases.

Requirements

• 4+ years of hands-on QA automation experience.
• Proficiency in Java and/or JavaScript for framework development.
• Strong expertise in API test automation for payment integrations.
• Proven experience with shift-left testing methodologies.
• Ability to integrate test suites into CI/CD pipelines.
• Must be based in Argentina, Brazil, Colombia, Georgia, Poland, or Ukraine.

Nice to have

• Experience with Salesforce Commerce Cloud test automation.
• Knowledge of payment platforms like Adyen, Braintree, or Stripe.
• Experience with payment platform migrations or token transfer validation.
• OMS automation experience.

Culture & Benefits

• Opportunity to work on real-world AI-driven projects across various industries.
• Collaboration within a global, inclusive team across continents and cultures.
• Environment prioritizing continuous learning, innovation, and ethical AI standards.