Applications Developer 2
- Oracle
- 1 - 5 years
- Hyderabad
- 28 days ago
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Job Description
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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full timeContact Details:
Company: OracleLocation(s): Hyderabad
Keyskills: Automation engineering Core Java ERP Manager Quality Assurance Testing tools Debugging Scrum Selenium Oracle SDLC
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