About the role
Your Responsibilities:
- Partner with Product Owners, developers, System Analysts, business representatives, architects, platform teams, Security, and Operations during planning, refinement, delivery, and release activities
- Identify quality risks, dependencies, acceptance examples, testability needs, test data, environments, and evidence requirements early in delivery
- Design, create, execute, and maintain manual and automated tests for functional, API, integration, data, regression, and business-workflow validation
- Perform exploratory testing to identify edge cases, usability concerns, business exceptions, and risks not covered by automated checks
- Collaborate with developers on testability, unit and component coverage, contract testing, diagnostics, observability, and fast feedback without taking ownership of developer tests
- Design, develop, maintain, and troubleshoot automation using Tricentis Tosca or other Product or platform-approved technologies
- Integrate reliable automated checks into Azure DevOps, GitHub, or approved CI/CD pipelines in partnership with Engineering and platform teams
- Maintain automation through source control, peer review, clear assertions, useful diagnostics, controlled test data, and explicit ownership
- Plan and complete the QA Validation Cycle for production changes, including integration evidence, targeted exploration, defect disposition, and the smaller QA smoke regression in the QA environment
- Plan and support the UAT / Business Assurance Cycle, including business-workflow evidence, critical journeys, business participation, and the full maintained regression baseline in UAT
- Build and maintain the Product’s QA smoke and UAT full-regression baselines using risk, change impact, incidents, dependencies, and production learning
- Use Azure DevOps as the authoritative system of record for test cases, execution results, defects, exceptions, risks, business confirmations, and quality decisions
- Log actionable defects, support collaborative triage and retesting, and clearly distinguish Product, automation, data, environment, configuration, and dependency failures
- Communicate the Product quality position, including tested scope, material failures, blocked evidence, unresolved defects, residual risks, owners, and recommended actions
- Use quality and flow measures to improve feedback speed, regression reliability, automation health, environment readiness, test-data readiness, and escaped impact
- Use production incidents, defects, and telemetry to improve test scope, automation, observability, testability, and regression protection
- Engage specialist automation, performance, security, accessibility, platform, or test-delivery capabilities when Product risk requires additional expertise
- Apply AI-assisted testing responsibly through human review, traceability, data protection, repeatable evaluation, and maintenance ownership