• Collaborate with business analysts, developers, and project managers to understand functional and technical requirements. • Develop, document, and execute comprehensive test plans, test cases, and test scripts for insurance software systems. • Perform functional, integration, regression, and user acceptance testing (UAT) across web and backend systems. • Validate system workflows related to insurance operations (e.g., policy administration, claims processing, underwriting, billing). • Ensure compliance with QA standards and best practices throughout the software development lifecycle (SDLC). • Participate in agile ceremonies including sprint planning, reviews, and retrospectives. • Assist in the creation of test data and environments simulating insurance scenarios. • Provide QA support during production deployments and post-release validation.

• Manage and lead the two test analysts work. • Modify existing test plans to fit our clients implementation to cover all applicable test area's and scope. • Lead creation of the test plan. • Organize creation and documentation of test cases within a client testing tool (ex: Jira, ServiceNow, etc). • Lead the creation of testing status readouts. • Ability to triage defects with two test analyst with support from Infoverity developer resources.

• Own end-to-end QA strategy for database connectors and integrations, including JDBC, Python drivers, Single Sign On integrations, and third-party tools including but not limited to Metabase, Tableau, and DBeaver. • Design and execute functional, performance, stress, and soak tests for client-server I/O paths, network behavior, and large result-set handling. • Validate query execution correctness and performance when exercised through external clients versus native SQL execution. • Analyze connector-level performance regressions, including result fetching, pagination, batching, serialization/deserialization, compression, and network utilization. • Develop and maintain automated test frameworks (primarily in Java and Python) for connector validation, regression coverage, and performance baselining. • Design and execute benchmarks to evaluate the performance impact of different indexing strategies, including their interaction with query execution, connector-driven access patterns, and I/O behavior across representative workloads. • Debug complex failures involving client drivers, networking, serialization formats, protocol mismatches, and server-side execution paths. • Partner closely with Software Engineers across Connectors, Query Processing, I/O, and Storage teams to isolate root causes and validate fixes. • Review execution plans, logs, metrics, and traces to assess correctness and performance impact. • Act as a quality gate for connector and I/O-related features prior to release, including customer-driven fixes and escalations.

• Partner with product, engineering, and design teams to refine user stories • Conduct daily evaluations of the QA swimlane in JIRA for new feature work • Collaborate with engineers to execute test cycles • Design, develop, and document comprehensive test plans and test cases for new and existing backend services • Develop and maintain Postman API tests and automated integration test suites targeting backend services and data flows across AWS components (SQS, SNS, DynamoDB, EventBridge) • Implement and manage API contract testing to validate integrations and ensure data consistency • Design, execute, and maintain performance, load, and stress tests for critical backend infrastructure • Collaborate with engineering teams to define and test security, access control, and compliance requirements • Integrate automated test suites into CI/CD pipelines (GitHub Actions) • Manage initial release completion, • Collaborate with QA Engineers across squads