Guidewire QA Analyst/Tester

Codetech•Jacksonville, FL

About The Position

Under minimal direction from the assignment supervisor and subject matter experts, the Guidewire QA Analyst/Tester develops and executes manual functional tests for new or modified applications and systems in collaboration with cross-functional team members. The role supports the ELMS Ascend project, which includes extensive front-end development and a complex integration between Guidewire ClaimCenter and Litify. The analyst validates functionality, performance, and the user experience across both platforms. The position performs end-to-end testing of cross-platform workflows and integrations, including API integrations, data synchronization, and business logic. It also supports User Acceptance Testing (UAT), documents testing outcomes, tracks defects through resolution, and recommends QA process improvements, including automation opportunities and improved test-data management.

Requirements

At least 4 years of experience in enterprise-level software testing with web-based applications in a large-scale relational database environment.
At least 2 years of experience implementing and using a variety of quality assurance methodologies.
Knowledge of Waterfall and Agile software delivery frameworks.
Proven interpersonal, verbal, and written communication skills.
Service-oriented and self-motivated, with keen attention to detail.
Ability to work well within a cross-functional team, build collaborative relationships, and deliver working software.
Ability to multitask and set priorities.
High school diploma or GED, plus a bachelor's degree or 3 years of relevant experience, or a combination of college education and relevant experience equivalent to 3 years.
Manual QA testing skills.
Automated QA testing skills.

Nice To Haves

Knowledge of Guidewire modules such as ClaimCenter, PolicyCenter, and BillingCenter.
Knowledge of insurance claims lifecycles and related business processes.
Familiarity with property and casualty (P&C) insurance operations and terminology.
Experience testing insurance workflows.
Familiarity with Litify, built on Salesforce, including legal case management, intake, and matter workflows.
Experience testing custom Salesforce applications and integrations.
Understanding of RESTful API testing between enterprise platforms.
Experience with data mapping, transformation, and ETL processes.
Knowledge of asynchronous and synchronous data flows, event-driven architecture, and integration patterns.
Experience with Salesforce platform QA, including testing Lightning components, flows, and Process Builder.
Strong SQL and database skills for backend data validation.
Familiarity with automation frameworks and tools such as Selenium, TestNG, Postman, and ReadyAPI.
Understanding of Agile/Scrum methodologies.
Knowledge of automation or performance QA tools such as QTP and LoadRunner.
Knowledge of API testing tools such as SoapUI.
Knowledge of database concepts, including creating, modifying, and executing SQL queries.
Knowledge of the property and casualty insurance industry.

Responsibilities

Conduct end-to-end QA testing of the integration between Guidewire and Litify platforms.
Validate system workflows across both platforms.
Develop, execute, and maintain test cases for API integrations, data synchronization, and business logic validation.
Collaborate with developers, business analysts, and integration teams to understand requirements and identify edge cases.
Perform regression, functional, and system integration testing to ensure platform stability after integration, as applicable.
Log, track, and verify defects to ensure timely resolution and retesting.
Ensure compliance with business requirements, security standards, and quality benchmarks throughout the integration lifecycle.
Prepare test documentation, including test plans, test cases, test summary reports, traceability matrices, defect logs, and QA sign-off reports.
Support User Acceptance Testing (UAT) and provide technical assistance to business users testing cross-system workflows.
Identify and recommend QA process improvements, including automation opportunities and better test-data management practices.