Oracle's Enterprise Risk and Finance (ERF) is an evolving product engineering team within Oracle FSGIU (Financial Services Global Industry Unit) with a suite of industry leading products. The focus of this team is to develop compelling products and services around Risk, Finance, Treasury and Regulatory Reporting for the Banking and Insurance industry. These products are built on a unified data architecture leveraging a combination of Oracle's latest technology offering together with best-in-class open-source technologies. This requires a focus on high performance computing for analytical workloads including the use of embedded artificial intelligence (AI)/ machine learning (ML) capability.
We are looking for Java/J2EE Full Stack Developers/Designers for products in this group. The range of experience is from five 6 years to 8 years. The development is for largely Cloud Services.
Career Level - IC3
As an integral part of the ERM development team you will be responsible for the following.
• Understand the requirements, analyze and design
• Testing and delivering to QA team with very high quality
• Resolution of bugs within a short time
• Analyze support issues related to code defects on an ongoing basis and define Root Cause Analysis
• Enhance development/coding principles based on experience and analysis of issues
• Open to learn new technologies as per project need.
Desired Qualifications / Skills:
• Engineering degree or Master of Computer Application (MCA) degree preferred
• Experience in Java, Java EE, Spring boot/Helidon applications
• Experience in XML, JSON, RESTFul API, reusable Java libraries
• Develop and deploy Microservices on cloud environment
• Web fundamentals like HTML5, JavaScript, and CSS, JSP, Servlets
• JavaScript frameworks like AngularJS, Oracle JET
• Experience on Javascript libraries like JQuery, AJAX and JSON
• PL/SQL knowledge is a plus
• Knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability) is desirable.
• Knowledge on Docker and Kubernetes is desirable
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