Quality Engineer

About the role

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. This role is responsible for testing and delivering complex software requirements to accomplish business outcomes, ensuring the testing strategy and processes are well-defined and continuously improved. The position functions as Lead for the Risk QA space while managing test delivery and automation, with a focus on MRT platform stability and improvements.

Responsibilities

• Creates and optimizes test processes including defect management and reporting.
• Creates and optimizes test automation frameworks and use of test automation tools.
• Leads test planning for complex features that span across the platform or multiple teams.
• Creates a test automation strategy across the application stack (UI, API, and Backend, etc.).
• Ensures alignment and sign-off for test cases from business and other stakeholders.
• Manages test execution and resolves, communicates, or escalates any issues that may result in test plan variance.
• Designs test data and ensures data compliance requirements are met on all levels of test environments.
• Defines and executes the overall QA strategy aligned with business and technology teams for all market risk applications.
• Leads and manages QA teams consisting of manual, automation, and data testers.
• Establishes quality standards, testing methodologies, and best practices across projects.
• Drives a quality-first culture and provides continuous improvement initiatives to ensure production stability.
• Develops QA roadmaps, automation strategies, and testing transformation plans.
• Ensures adherence to organizational QA governance and compliance requirements.
• Owns end-to-end QA delivery across multiple projects and releases.
• Defines test scope, test approach, resource allocation, and timelines, and reviews project requirements to ensure adequate test coverage.
• Manages SIT Regression, Integration, Performance, and Feature validation activities.
• Defines automation strategy and framework roadmap, adoption of Python-based automation solutions, and improves regression and integration automation coverage.

Requirements

• 10+ years of QA leadership experience managing enterprise-scale testing initiatives.
• Proven experience leading large QA organizations across manual, automation, and data testing disciplines.
• Strong background in test automation, data validation, and enterprise application testing.
• Experience implementing QA governance, risk-based testing, and release management practices.
• Strong understanding of Agile, DevOps, CI/CD, and continuous testing methodologies.
• Excellent leadership, stakeholder management, communication, and problem-solving skills.

Skills

• QA Leadership & Governance
• Python Automation
• DB2 / Oracle / SQL Server / Advanced SQL
• ETL & Data Warehouse Testing
• Data Migration Validation
• Reporting & Regulatory Testing
• Test Automation Frameworks
• Agile & DevOps
• AI Tools (GitHub Copilot, GenAI Testing Tools)
• People Management
• Risk & Release Management
• Executive Communication
• Analytical Thinking
• Business Acumen
• Influence
• Technical Strategy Development
• Test Engineering
• Automation
• Collaboration
• Solution Delivery Process
• Solution Design
• Stakeholder Management
• Agile Practices
• Application Development
• Architecture
• DevOps Practices
• User Experience Design

Desired Qualifications

• Experience within banking, financial services, risk management, or regulatory reporting domains.
• Experience with CI/CD pipelines and DevOps-driven testing practices.
• Exposure to cloud-based, AI data platforms and modern data engineering ecosystems.
• Strong understanding of data quality frameworks, controls, and audit requirements.

Schedule

1st shift (United States of America), 40 hours per week.