Applications Developer 2

The Fusion Projects Automation Team is seeking an Automation Engineer to drive quality and stability across Fusion applications. This role is responsible for executing large-scale certification cycles, developing and maintaining automation frameworks, and validating integration touchpoints across dependent modules. As the organization accelerates AI-driven quality engineering within PPM and the broader ERP QA landscape, the ideal candidate will bring an AI-first mindset to modernize automation, analytics, and continuous quality practices. The Automation Engineer will leverage advanced technologies such as generative automation, intelligent test design, defect prediction, and data-driven quality insights to increase throughput, reduce cycle time, and improve release quality. This position is critical to supporting product delivery, customer success, and Oracle s unified ERP QA model by executing on the company s AI-enabled QA roadmap.

Career Level - IC2

Key Responsibilities

Testing Quality Assurance

• Lead and participate in end-to-end testing activities across ERP modules and integrated systems.
• Design, develop, and maintain comprehensive regression test suites for applications, platforms, and interfaces.
• Communicate test results, defects, and product quality insights clearly and effectively to stakeholders across teams.
• Provide expert-level support to business, development, and QA teams for both internal and customer-facing issues.
• Perform root cause analysis for defects and collaborate with engineering teams to ensure timely and high-quality fixes.

Automation Engineering

• Build automation solutions from the ground up and optimize existing frameworks for scalability, maintainability, and reusability.
• Solve complex automation challenges across diverse technologies, ensuring robust and efficient test solutions.
• Continuously enhance automation effectiveness by adopting innovative tools, advanced testing techniques, and modern architectural patterns.

Agile Methodology

• Experience of working in Agile environments using Scrum frameworks

Domain Knowledge

• Possess a foundational understanding of ERP concepts, business processes, and industry best practices.

AI in Quality Engineering

• Apply AI/ML techniques to enhance QA processes such as intelligent test case generation, test prioritization, root cause prediction, and failure pattern analysis.
• Utilize AI-driven tools for code analysis, defect clustering, and improving automation stability.
• Ability to work with AI-assisted development and testing tools (e.g., AI pair-testers, code analyzers, generative AI tools) to increase velocity and reduce manual effort.
• Strong conceptual understanding of how AI can be embedded into testing workflows, including test optimization, data generation, and impact analysis.

Mandatory Skills

• Strong proficiency in

  Core Java

  , including ability to write optimized, clean code
• Expertise in

  Selenium

  and modern

  test automation frameworks

  (TestNG, JUnit, custom frameworks) and prompt engineering skills at intermediate level.
• Solid understanding of

  Agile methodology

  , Scrum, and SDLC processes.
• Excellent analytical skills, debugging abilities, and problem-solving mindset.
• Effectively Collaborate with cross functional teams to deliver high quality product delivery