Quality Assurance Specialist

Position Summary

The QA Lead will plan, coordinate, govern, and report the end-to-end testing effort for enterprise applications and integrations. The role must bridge business requirements and technical validation, supervise other testers, ensure measurable requirements traceability, and provide management with clear release-readiness information. The QA Lead must also be capable of reviewing and writing automation code when needed.

Core Responsibilities:

Act as Test Lead for assigned programs, releases, modules, and production-readiness efforts.

Develop the overall test strategy, scope, entry/exit criteria, estimates, schedules, dependencies, and execution plan.

Assign and supervise testing work, review test artifacts, mentor testers, and enforce QA standards.

Coordinate with Business Analysts, Developers, Product Owners, Project Managers, DevOps, DBAs, and business stakeholders.

Review BRDs, Functional Requirements (FRs), user stories, acceptance criteria, workflow diagrams, interface specifications, data mappings, and API specifications.

Identify missing, ambiguous, conflicting, or untestable requirements before execution begins.

Translate requirements into Test Scenarios (TS), Test Cases (TC), test data, preconditions, expected results, and automation candidates.

Drive complete, measurable traceability from requirements to executed tests and defects.

Create and maintain Test Plans, Test Suites, Test Cases, configurations, test runs, evidence, and defect links in Azure DevOps (ADO).

Establish consistent work-item relationships among BRDs/FRs, TSs, TCs, executions, defects, retests, and closure.

Use ADO queries and dashboards to communicate progress, blockers, defects, coverage, and release readiness.

Create and review Positive, Negative, Boundary Value, Equivalence Partitioning, Decision Table, State Transition, Role/Authorization, Data-Driven, and Risk-Based tests.

Coordinate and participate in Smoke, Functional, API, Integration, System, Regression, End-to-End, UAT, Performance-support, Database, and Data Pipeline testing.

Ensure failures are reproducible, evidence is complete, and test results are defensible.

Lead or participate in defect triage and severity/priority decisions.

Ensure defects contain environment/build information, reproducible steps, expected/actual results, evidence, and requirement/test links.

Provide evidence-based release recommendations and clearly communicate residual quality risk.