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Application Developer - Life Insurance Admin Systems

Om Tat Sat Solutions

Gurugram District, Pune District

Hybrid

INR 8,00,000 - 12,00,000

Full time

Today
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Job summary

A technology solutions provider is seeking an Application Developer to join their Life Insurance Admin Systems team. The ideal candidate will have over 4 years of relevant experience, strong SQL skills, and the ability to collaborate effectively across teams. Responsibilities include designing new modules, providing production support, and troubleshooting system issues. This role offers opportunities for growth and development in a dynamic environment.

Qualifications

  • 4+ years in Life Insurance administration systems.
  • Proven development and production support experience.
  • Experience in Agile/Scrum environments.

Responsibilities

  • Understand and contribute to Life Insurance admin platforms.
  • Design and develop new modules for business requirements.
  • Provide production support including batch cycle management.
  • Analyze and troubleshoot system issues promptly.

Skills

SQL proficiency
Strong collaboration skills
Problem-solving abilities
Time management skills

Tools

Oracle
SQL Server
Git
Job description
Introduction

Application Developer - Life Insurance Admin Systems & Conversions team

We are seeking a highly motivated and detail-oriented Developer with experience in Life Insurance administration system to join our Information Technology group.

The ideal candidate will have a strong background in development, production support, batch cycle scheduling/monitoring, and collaboration with cross-functional teams and should be able to communicate effectively with members of the team in different time zones and be able to analyze complex problems to deliver effective solutions.

Job Functions / Key Responsibilities
  • Understand and contribute to the data architecture and interfaces of Life Insurance admin platforms.
  • Design and develop new modules or interfaces as needed to support evolving business requirements in Life Insurance administration systems.
  • Provide production support for Life Insurance administration systems, including scheduling, monitoring and managing batch cycles.
  • Collaborate closely with software developers, business analysts, and QA teams, both onshore and offshore, to ensure smooth delivery of solutions.
  • Analyze and troubleshoot system issues, ensuring timely resolution and minimal business impact.
  • Debug the system to investigate bugs and determine effective fixes.
  • Develop and maintain SQL queries and scripts for data analysis and reporting.
  • Work with relational databases such as Oracle and SQL Server.
  • Participate in agile ceremonies and contribute to sprint planning, reviews, and retrospectives.
  • Manage code using Git, including branching strategies and repository management.
  • Document technical processes and support knowledge sharing across teams.
Required Skills
  • Typically, 4+ years of applicable work and/or technical experience in Life Insurance administration systems.
  • Strong development and production support experience in Life Insurance administration systems, including batch cycle operations.
  • Proficiency in SQL and relational databases (Oracle, SQL Server etc.).
  • Solid understanding of Life Insurance data architecture, systems, and interfaces.
  • Experience working in an Agile/Scrum environment.
  • Experience working in an onshore-offshore delivery model.
  • Familiarity with Git, GitHub/GitLab, and version control best practices.
  • Excellent organizational and time management skills.
  • Strong collaboration and communication skills across technical and business teams.
  • Self-motivated, coachable, and committed to continuous learning.
  • Excellent analytical and problem-solving abilities.
Preferred Qualifications
  • Experience with Java development is a significant plus.
  • Experience with Azure Cloud, Docker, and Kubernetes is a strong advantage.
  • Willingness to learn and grow in cloud technologies if not already experienced.
  • Knowledge of COBOL is preferable.
  • Exposure to DevOps tools and CI/CD pipelines is advantageous.
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