Quality Assurance Manager

Alpha II•Tallahassee, FL

25d•Hybrid

About The Position

The QA Manager – Legacy Applications owns quality strategy and execution for Aptarro’s Microsoft-based legacy application portfolio. This role is accountable for reducing defect escape rates from established 2025 baselines while expanding automation coverage, accelerating feedback loops, and applying AI-assisted quality techniques. Reporting to the EVP of Legacy Applications, this leader manages a globally distributed QA team and partners closely with Engineering, Product, Operations, Security, and Compliance to ensure revenue-critical systems meet high standards of reliability and regulatory compliance.

Requirements

8+ years of experience in software quality assurance, including 3+ years in a QA leadership or management role.
Deep experience with Microsoft-centric application stacks (.NET, SQL Server, Windows-based services, Azure).
Proven success reducing defect escape rates in complex or legacy enterprise systems.
Strong background in test automation and CI/CD integration, preferably using Azure DevOps.
Demonstrated experience piloting or applying AI-assisted QA or software delivery techniques.
Excellent analytical, communication, and executive-facing presentation skills.
Experience working in regulated environments, preferably healthcare.

Nice To Haves

experience with physician revenue cycle software, PE-backed portfolios, hybrid cloud/on‑prem deployments, and using quality metrics to drive organizational behavior change.

Responsibilities

Own and continuously evolve QA strategy for revenue-generating legacy applications.
Drive measurable reduction in defect escape rates relative to 2025 baseline metrics.
Define, track, and report quality KPIs including escape rate, automation coverage, test effectiveness, and cycle time.
Implement risk-based testing strategies appropriate for complex, long-lived systems.
Lead, mentor, and develop a team of ~8 QA engineers across the U.S. and India.
Partner with Engineering Managers to embed quality leadership into sprint and release planning.
Expand and harden automated test suites across UI, API, integration, and regression layers.
Apply AI-driven techniques for test generation, prioritization, defect prediction, and root-cause analysis.
Integrate QA execution into Azure DevOps CI/CD pipelines and support Jira-based teams as needed.
Ensure QA practices support deployments across Azure public cloud, private cloud, and on‑prem environments.
Partner with Compliance, Security, and Operations to support audits and regulated releases.
Lead root-cause analysis for escaped defects and ensure corrective actions are implemented and tracked.