We are looking for a skilled OIPA Developer to design, develop, and maintain solutions on the Oracle Insurance Policy Administration platform. The ideal candidate will have deep technical expertise, strong problem-solving skills, and experience delivering high-quality code in a collaborative, distributed environment.

Roles and Responsibilities

• Design and implement solutions using Oracle Insurance Policy Administration (OIPA).

• Develop low-level design documents and detailed technical specifications.

• Write, review, and maintain high-quality code following development standards and best practices.

• Participate in peer code reviews and ensure vendor deliverables meet quality requirements.

• Perform unit testing and support QA teams with test case creation and data preparation.

• Troubleshoot production issues, perform root cause analysis, and implement corrective measures.

• Optimize system performance, reliability, and resource utilization.

• Ensure compliance with development standards, governance, and security policies.

• Mentor junior developers and provide technical guidance.

• Collaborate with cross-functional teams to deliver projects on time and within scope.

 

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 5–7+ years of hands-on experience with Oracle Insurance Policy Administration (OIPA).

• 5–7 years of experience with SQL and XML, including developing views, stored procedures, and functions.

• 2–3 years of experience with cloud platforms (AWS, Azure, or GCP).

• Experience with development tools such as Visual Studio, Git, and SQL Server Management Studio.

• Familiarity with CI/CD tools (e.g., Jenkins, Ansible).

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills.

• Experience working in geographically distributed teams.

 

Preferred Qualifications

• Full-stack development experience using AWS services.

• UNIX/Linux shell scripting experience.

• Experience with container technologies (Docker, EKS, ECS).

• Exposure to AI/MLOps workflows.

• Strong ability to translate business requirements into technical designs.

• Experience working within enterprise architecture and governance frameworks.