Bank of America-posted 8 days ago
$98,000 - $141,600/Yr
Full-time • Mid Level
Onsite • Charlotte, NC
5,001-10,000 employees

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job 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. Key responsibilities include establishing a test and automation strategy, creating common test frameworks, defining and managing test processes including test data generation, defect management and reporting. Job expectations include understanding and implementing internal/external mandate, ensuring compliance requirements are met on all levels of test environments, and manages traceability. Job Profile Summary: Generative AI presents an exciting opportunity to derive valuable insights from data and drive: revenue growth, efficiencies, and improved business processes. Technology collaborates closely with Global Markets Business and Quantitative Strategies & Data Group (QSDG) & Platform teams in the design and buildout of the Global Markets Gen AI platform. The platform will cater to a growing number of use cases that harness the power of Generative AI, leveraging both proprietary and opensource models. Global Markets Gen AI Platform will be built on a complex infrastructure landscape including cloud services, on-premises GPU compute, no-SQL databases, vector databases, microservices, batch schedulers and user interfaces. The Quality Engineer Team Lead will be responsible for managing a team that tests and delivers complex software requirements to accomplish business outcomes, ensuring the testing strategy and processes are well-defined and continuously improved.

  • Leading a small global team to create and optimize test processes including defect management and reporting
  • 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 ensure data compliance requirements are met on all levels of test environments
  • Develop and execute a comprehensive testing strategy for GenAI applications, encompassing functional, performance, regression, and exploratory testing.
  • Manage data versioning processes to ensure consistent and reproducible testing environments.
  • Design, review, and maintain test cases based on requirements and scenarios, ensuring coverage of key application features.
  • Oversee the execution of test cases, ensuring proper test planning and adherence to testing timelines.
  • Technical Experience with agile development methodologies and DevOps practices.
  • Strong experience in developing and executing testing strategies for complex applications.
  • Knowledge of data versioning and data management practices.
  • Proficiency in test case design, test execution, and test management tools.
  • Experience with automation testing tools such as Selenium, JUnit, or PyTest.
  • Non-Technical People management or supervision experience in a team lead capacity
  • Ability to communicate effectively to a wide range of audience (business stakeholders, developer & support teams)
  • Detail oriented & highly organized
  • Adaptable to shifting & competing priorities
  • Skilled at delegating, mentoring & setting expectations
  • Problem solving skills to diagnose & resolve complex issues
  • Committed and pro-active in ensuring high quality of service
  • Bachelor Degree in Comp Sci or related or equivalent professional experience
  • Experience with testing frameworks and tools specific to AI/ML applications.
  • Familiarity with cloud platforms and testing in cloud environments.
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