Senior Vice President – Front Office Equities Engineering (Full-stack)

Bank of New York Mellon•New York, NY

76d•$120,000 - $225,000•Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President – Front Office Equities Engineering (Full-stack) to join our Equities Engineering team in Execution Services Platform. This role is in New York City, NY.

Requirements

Bachelor’s degree in computer science or related discipline, or equivalent work experience required, advanced degree preferred.
Industry Experience: 10 plus years of experience designing, building, and delivering real-time, scalable, and resilient software applications within Financial Services or similar complex, high-throughput domains.
Core Backend Proficiency: Deep expertise in Java and the Spring ecosystem — including Spring Framework, Spring Boot, Spring Security, Spring Data, and ORM frameworks — with a strong focus on building production-grade, enterprise-scale services.
Frontend Development: Proficiency in modern front-end technologies including Angular, TypeScript/JavaScript, HTML/CSS, with working knowledge of jQuery and component-based UI architecture.
Data & Persistence: Strong command of relational and analytical database technologies, e.g., Oracle / Microsoft SQL Server, with experience in data modeling, query optimization, and large-scale data management.
Messaging & Middleware: Hands-on experience with messaging and middleware technologies such as Apache Kafka, IBM MQ, the FIX protocol, with an understanding of event-driven and asynchronous system design.
Agile Delivery: Solid understanding of Scrum and Agile methodologies, with a proven ability to deliver in fast-paced, rapidly evolving environments with shifting priorities.
Communication & Leadership: Excellent written and verbal communication skills; able to clearly articulate technical concepts to both technical and non-technical stakeholders. Strong organizational skills to coordinate, influence, and drive cross-team initiatives.
Problem Solving & Innovation: Demonstrated ability to analyze complex, ambiguous problems and devise pragmatic, innovative solutions — balancing technical rigor with delivery speed.
AI-Augmented Development: Familiarity with one or more AI coding and productivity tools (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code), with a willingness to leverage AI-assisted workflows to accelerate development and improve code quality.

Nice To Haves

(Note: We value T-shaped engineers — deep expertise in one discipline (backend or frontend) with broad familiarity across the stack is preferred over equal but shallow coverage of both)

Responsibilities

Architecture & Design Leadership: Play a lead role in the design, architecture and implementation of trading, sales, and operations workflows, ensuring alignment with business goals and engineering best practices.
Trade-Flow Platform Development: Design and build flexible, scalable trade-flow software capable of handling diverse client-side and OMS-side integration patterns and high-throughput scenarios.
Cross-functional Collaboration: Partner closely with Product, Trading, Operations, and Engineering teams to translate complex business requirements into robust, scalable technical solutions.
Technology Innovation: Work alongside a cross-functional engineering team to evaluate and adopt emerging technologies, contributing to a modern, high-performance technology stack.
AI-Driven Automation: Champion an AI-first mindset by driving automation initiatives, intelligent code refactoring, and the adoption of AI tooling to improve developer productivity and system efficiency.
Engineering Excellence: Deliver well-designed, testable, secure, and performant code through hands-on programming, rigorous code reviews, and adherence to engineering standards.
Production Support: Provide second-level production support, troubleshoot complex system issues, and contribute to incident resolution and post-mortem processes.
Mentorship & Technical Leadership: Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, technical growth, and engineering craftsmanship.