FBS Agile Dev Team Member III - QA with Duck Creek Policy Administration at Capgemini Portugal

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

0.0

Posted On

22 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Duck Creek Policy Administration, Quality Engineering, Mainframe, SQL, Test Automation, API Validation, ETL, Data Validation, Rate Verification, Underwriting, Policy Workflows, AI-assisted testing, Insurance domain expertise, System reliability, Regulatory compliance

Industry

IT Services and IT Consulting

Description

Foremost Quality Engineering The Foremost QA group is responsible for ensuring the quality, stability, and regulatory of Foremost Insurance platform, supporting core business function. The team provides end-to-end quality engineering coverage across enterprise platforms with strong specialization in Duck Creek Policy and legacy mainframe systems, validating complex policy workflows, rating logic, and data exchanges that support Foremost products. We are seeking a Senior QA / Quality Engineering Lead with deep expertise in Duck Creek Policy Administration and Mainframe-based insurance platforms to support Foremost insurance initiatives. This role will lead end-to-end quality engineering efforts across quoting, rating, underwriting, and policy administration systems, ensuring accuracy, reliability, and regulatory compliance for enterprise insurance platforms. The candidate will bring strong technical and domain expertise across Duck Creek, legacy mainframe integrations, data validation, and rate verification, while driving modern testing practices including AI-assisted test generation and automated execution frameworks. Key responsibilities include validating policy conversions, rating logic, and downstream data integrations, performing large-scale SQL-based data validation, and ensuring accuracy across quoting, rating, underwriting, and commission workflows. The role will also focus on test automation strategy, API validation, and ETL data verification supporting enterprise migrations and modernization programs. The candidate will collaborate closely with Product, Engineering, Data, and Platform teams to deliver predictable, high-quality releases across multiple environments including DEV, SIT, QA, UAT, and Production. This position plays a critical role in strengthening system reliability, pricing accuracy, and data quality for Foremost products while introducing AI-driven testing approaches to accelerate test creation, coverage, and execution efficiency across complex policy platforms. QA with Duck Creek Policy Administration and Mainframe-based Competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023. https://www.capgemini.com/us-en/about-us/who-we-are/

Responsibilities

Lead end-to-end quality engineering efforts for insurance platforms, including policy administration, rating logic, and data integrations. Drive modern testing practices such as AI-assisted test generation and automated execution frameworks to ensure system reliability and regulatory compliance.