Vice President, Full-Stack Engineer

BNY Mellon•Lake Mary, FL

About The Position

The Vice President, Full-Stack Engineer will join the Enterprise Compliance / Case Management technology team in Pittsburgh, PA. The role focuses on designing, developing, modernizing, and supporting secure, scalable, and maintainable case management applications in a regulated environment. The engineer will collaborate with cross-functional teams to improve workflow efficiency, reduce manual effort, strengthen operational controls, and support compliance-focused business processes. The position uses Java, Spring Framework, Spring Boot, REST APIs, Angular, TypeScript, JavaScript, HTML, CSS, SQL, and enterprise integration technologies. It includes building backend services, microservices, APIs, workflow-driven user interfaces, database objects, and integrations with enterprise systems. The engineer will also contribute to legacy platform modernization, application architecture, engineering standards, testing, CI/CD, production support, and cloud-aligned practices. The role supports applications across production and non-production environments, emphasizing reliability, SLA adherence, issue investigation, root-cause analysis, and continuous improvement. The engineer will participate in Agile delivery and collaborate with business users, product owners, analysts, developers, architects, and other stakeholders. The position may also support the adoption of AI and emerging technologies to improve developer productivity, process efficiency, and user experience.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 7 years of experience in full-stack software development.
Strong experience in Core Java, Spring Framework, Spring Boot, microservices, and RESTful APIs.
Strong proficiency in Angular, TypeScript, JavaScript, HTML, and CSS.
Solid experience with SQL and database development, including tables, stored procedures, views, and query optimization.
Experience with Agile methodology, CI/CD, application resiliency, and secure development practices.
Experience with development and engineering toolsets such as Git/GitLab, JUnit, SonarQube, Splunk, Jenkins, and related tooling.
Experience supporting enterprise application integration and workflow-based platforms.
Strong understanding of production support, issue triage, root-cause analysis, and operational stability.
Excellent problem-solving, communication, and interpersonal skills.
Ability to work collaboratively with business users, developers, architects, and cross-functional stakeholders.

Nice To Haves

Experience in financial services, particularly in compliance, risk, or operational workflow platforms.
Experience with case management applications and workflow-driven enterprise systems.
Familiarity with cloud platforms such as AWS and Azure.
Experience with Docker, Kubernetes, or related modern deployment technologies.
Exposure to monitoring, diagnostics, and performance analysis tools.
Experience modernizing legacy enterprise applications.
Familiarity with automation and AI-assisted development or process improvement initiatives.
Experience mentoring junior developers and contributing to engineering best practices across teams.

Responsibilities

Design, develop, test, deploy, and support full-stack applications using Java, Spring Framework, Spring Boot, REST APIs, Angular, JavaScript, HTML, and CSS.
Build scalable and maintainable backend services, microservices, and APIs for enterprise case management capabilities.
Develop user interfaces and workflow-driven screens to streamline case management processes and improve operational efficiency.
Modernize legacy platforms using current engineering standards, reusable design patterns, and cloud-aligned application architectures.
Participate in technical design discussions and contribute to application architecture, integration design, and development best practices.
Enhance case management applications to improve workflow automation, user experience, case tracking, and processing transparency.
Work with business users, product owners, and analysts to translate compliance and operational requirements into technical solutions.
Build and support features that reduce manual intervention, improve turnaround times, and strengthen end-to-end process execution.
Integrate case management applications with upstream and downstream enterprise systems.
Improve visibility into case status, processing exceptions, and workflow outcomes.
Design and implement RESTful APIs and microservices for enterprise-scale functionality.
Create and optimize database objects, including tables, views, stored procedures, and SQL queries.
Support end-to-end integration across enterprise applications, platforms, and services.
Perform or support performance tuning, structured data handling, and backend optimization.
Build reusable components and shared services.
Promote software development best practices, including code quality, unit testing, integration testing, and CI/CD.
Conduct code reviews and manage merge requests to ensure engineering standards, maintainability, and secure coding practices.
Contribute to impact analysis, technical estimation, and implementation planning for enhancements, defects, and new features.
Participate in Scrum ceremonies, sprint planning, backlog refinement, and release activities.
Support applications in production and non-production environments, focusing on stability, reliability, and SLA adherence.
Monitor application health, investigate issues, perform root-cause analysis, and support timely incident and defect remediation.
Analyze recurring issues and identify opportunities for automation, refactoring, and process improvement.
Maintain technical and support documentation aligned with SDLC and operational standards.
Contribute to platform resilience, supportability, and modernization.
Support CI/CD workflows and modern deployment practices using tools such as GitLab/Git, Jenkins, SonarQube, and Splunk.
Contribute to cloud-aligned engineering practices across environments such as AWS and Azure.
Help integrate observability, diagnostics, and monitoring capabilities.
Support adoption of AI and emerging technologies where appropriate.