Senior Vice President, Full-Stack Engineer

About the role

The Senior Vice President, Fullstack Engineer role is within the Fund & Investor Solutions team at BNY, a leading global financial services company. This role is based in Boston, MA.

Responsibilities

• Consult with internal business groups to provide high-level application software development services and technical support
• Program well-designed, testable, efficient code and integrate software components into fully functional software systems
• Analyse, design, and develop tests and test-automation suites; develop flowcharts, layouts, and documentation to satisfy requirements and solutions
• Maintain software functionality and currency, actively participate in code reviews, and apply security and privacy principles

Requirements

• Bachelor’s degree in computer science, engineering, or related discipline, or equivalent work experience required
• 10+ years of software development experience, including significant hands-on experience with enterprise application development; experience in securities, banking, or financial services is a plus
• Prior experience leading or managing engineering teams, preferably small to mid-sized teams of 5–10 engineers, with demonstrated ability to mentor, guide, and deliver through others while remaining technically hands-on

Qualifications

• Strong expertise in Java, Spring Framework, Spring MVC, Spring Boot, design patterns, microservices architecture, and RESTful APIs
• Strong understanding of AI agent architecture, LLM-based application patterns, RAG, prompt engineering, grounding, evaluation, and responsible AI considerations
• Experience with AI code-assist technologies such as GitHub Copilot, Claude Code, Windsurf, or similar developer productivity tools
• Strong understanding of DevOps principles, secure coding practices, Agile delivery, CI/CD automation, and modern engineering best practices
• Proficiency in building and automating CI/CD pipelines on large-scale container platforms using Docker, Kubernetes, GitLab, or equivalent tools
• Experience with observability, production support, SRE practices, incident management, performance tuning, and operational resilience
• Experience with batch monitoring and job scheduling tools such as Airflow, Autosys, Control-M, or equivalent platforms
• Proficiency in scripting, SQL, stored procedures, transaction management, and integration with enterprise data platforms
• Strong knowledge of code quality and application security tools such as SonarQube, Veracode, dependency scanning, and secure SDLC practices
• Ability to set technical direction, influence architecture decisions, manage delivery priorities, and communicate effectively with senior stakeholders, business partners, architects, and engineering teams
• Demonstrated ability to balance hands-on engineering contribution with leadership responsibilities, including planning, mentoring, delivery management, and production accountability
• Strong analytical, problem-solving, collaboration, and communication skills, with a passion for building high-quality, resilient, and AI-enabled enterprise solutions

Skills

• Java
• Spring Framework
• Spring MVC
• Spring Boot
• Design patterns
• Microservices architecture
• RESTful APIs
• AI agent architecture
• LLM-based application patterns
• RAG
• Prompt engineering
• Grounding
• Evaluation
• Responsible AI considerations
• AI code-assist technologies (GitHub Copilot, Claude Code, Windsurf)
• DevOps principles
• Secure coding practices
• Agile delivery
• CI/CD automation
• Observability
• Production support
• SRE practices
• Incident management
• Performance tuning
• Operational resilience
• Batch monitoring
• Job scheduling tools (Airflow, Autosys, Control-M)
• Scripting
• SQL
• Stored procedures
• Transaction management
• Enterprise data platforms
• Code quality and application security tools (SonarQube, Veracode, dependency scanning, secure SDLC practices)
• Technical direction setting
• Architecture decision influencing
• Delivery priority management
• Communication with stakeholders
• Problem-solving and collaboration skills
• Building high-quality, resilient, and AI-enabled enterprise solutions

Benefits

• Competitive compensation package
• Flexible global resources and tools
• Health focus and personal resilience
• Financial goals support
• Generous paid leaves, including paid volunteer time
• Equal Employment Opportunity/Affirmative Action Employer
• Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans
• Market data-driven compensation
• At-will employment with potential modifications