Job description

Job Description: 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. 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. LOB Position Summary: • Seeking an automation-focused software engineer with experience in ETL/Data Engineering, Mainframe, and real-time data replication environments. • Serve as the technical bridge between Development Engineers and Quality Engineers , aligning ETL solution development, automated validation frameworks, testability, and shift-left quality practices. • Advance software engineering practices within Quality Engineering by embedding automation, data validation, observability, and testability throughout the development lifecycle. • Support Unit, Feature and Integrated automation testing for mission-critical data services, with ownership of data integrity, transformation accuracy, replication reliability, and automated validation across high-volume integration and streaming platforms. 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 ensure data compliance requirements are met on all levels of test environments Required Qualifications: • 5+ years of applicable software engineering , test automation, data engineering, or quality engineering experience. • Experience developing and supporting ETL/DataStage solutions , real-time data replication platforms, and large-scale data integration processes, with a strong focus on automation and quality engineering. • Experience designing, developing, and maintaining automated test frameworks or suites for Unit, Feature, Integrated, regression and data validation testing. • Ability to own automated source-to-target validation, transformation accuracy, data integrity, reconciliation, and consistency across high-volume replication and streaming platforms. • Working knowledge of CI/CD practices and the integration of automated tests, quality gates, and results reporting into delivery pipelines. • Hands-on engineering expertise across Mainframe, DataStage, IIDR/CDC, and Kafka-based data pipelines , including development, troubleshooting, automated testing, and validation. • Strong analytical, coding, problem-solving, communication, and cross-functional collaboration skills. • ETL, Kafka, Mainframe, IIDR, Raft, Java, Co-Pilot, Octane, Litmus Desired Qualifications: • Experience building reusable automation frameworks for data-intensive, high-volume, and business-critical environments. • Experience working in Agile delivery teams and influencing automation strategy across application, infrastructure, data, and quality engineering partners. • Ability to communicate quality risks, automation coverage, dependencies, and business outcomes clearly to technical and non-technical stakeholders. • DataStage, Python, AI Agents, SQL, UFT, Para Soft, GitHub, Bit-Bucket Skills: • 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 Shift: 1st shift (United States of America) Hours Per Week: 40

Requirements

Must-haves

Seeking an automation-focused software engineer with experience in ETL/Data Engineering, Mainframe, and real-time data replication environments.
Serve as the technical bridge between Development Engineers and Quality Engineers , aligning ETL solution development, automated validation frameworks, testability, and shift-left quality practices.
Advance software engineering practices within Quality Engineering by embedding automation, data validation, observability, and testability throughout the development lifecycle.
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
5+ years of applicable software engineering , test automation, data engineering, or quality engineering experience.
Experience developing and supporting ETL/DataStage solutions , real-time data replication platforms, and large-scale data integration processes, with a strong focus on automation and quality engineering.
Experience designing, developing, and maintaining automated test frameworks or suites for Unit, Feature, Integrated, regression and data validation testing.
Ability to own automated source-to-target validation, transformation accuracy, data integrity, reconciliation, and consistency across high-volume replication and streaming platforms.
Working knowledge of CI/CD practices and the integration of automated tests, quality gates, and results reporting into delivery pipelines.
Hands-on engineering expertise across Mainframe, DataStage, IIDR/CDC, and Kafka-based data pipelines , including development, troubleshooting, automated testing, and validation.
Strong analytical, coding, problem-solving, communication, and cross-functional collaboration skills.
ETL, Kafka, Mainframe, IIDR, Raft, Java, Co-Pilot, Octane, Litmus
Analytical Thinking
Business Acumen

Nice-to-haves

Experience building reusable automation frameworks for data-intensive, high-volume, and business-critical environments.
Experience working in Agile delivery teams and influencing automation strategy across application, infrastructure, data, and quality engineering partners.
Ability to communicate quality risks, automation coverage, dependencies, and business outcomes clearly to technical and non-technical stakeholders.
DataStage, Python, AI Agents, SQL, UFT, Para Soft, GitHub, Bit-Bucket

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apici/cdjavaagilepythonaisql

Platform: bank-of-america
Effort: medium

Benefits

Benefits detected in the listing.

Wellness