Lead Software Test Engineer

Responsibilities

• Lead end-to-end functional, integration, regression, upgrade, and UAT testing for enterprise POS solutions.
• Develop test strategies, plans, readiness criteria, risk assessments, and go/no-go recommendations.
• Serve as the primary QA contact for lab validation, deployment readiness, issue triage, and stakeholder alignment.
• Diagnose complex issues across software, configuration, integrations, data, hardware, and environments.
• Validate customer-reported issues and ensure defects include reproducibility, expected behavior, configuration context, logs, evidence, and business impact.
• Maintain parity between customer and internal lab environments, including POS devices and system configurations.
• Establish QA standards for test coverage, defect quality, evidence capture, lab readiness, release readiness, root-cause analysis, and customer acceptance.
• Create reusable test assets, execution guidance, readiness assessments, and handoff packages for distributed QA teams.
• Drive defect prevention, root-cause analysis, and continuous quality improvements based on trends, evidence, and customer feedback.
• Communicate test progress, risks, issues, and readiness to technical and non-technical stakeholders.

Requirements

• 8 to 10 years of software testing experience, including 5 or more years in POS or enterprise transaction systems.
• Extensive customer-facing experience with testing, UAT, deployments, upgrades, issue triage, and production readiness.
• Strong troubleshooting and analytical skills across software, configuration, integration, hardware, data, and environments.
• Experience with SQL, APIs, log analysis, distributed systems, and system configuration analysis.
• Ability to lead QA activities across cross-functional and distributed teams without direct authority.
• Experience creating test strategies, readiness criteria, execution plans, and reusable QA artifacts.
• Strong judgment in distinguishing product defects from configuration, integration, environment, data, workflow, hardware, and expected-behavior issues.
• Excellent communication, stakeholder-management, and problem-solving skills.