Senior Vice President, Full-Stack Engineer

BNY Mellon•Pittsburgh, PA

About The Position

BNY is seeking an engineer who amplifies team impact through technical leadership and force-multiplier behaviors. The role involves raising engineering standards, accelerating delivery, applying sound technical judgment to complex problems, providing thought leadership, and coaching others. The engineer will use AI-enabled capabilities to improve how work gets done while ensuring delivered systems are secure, scalable, resilient, and worthwhile to build. The position is located in Pittsburgh, Pennsylvania, or New York, New York. The successful candidate will provide hands-on technical leadership and mentorship, build reusable engineering patterns and tools, design fit-for-purpose architectures, simplify systems and workflows, and apply strong engineering fundamentals. They will use AI-enabled tools across design, coding, testing, review, and documentation while maintaining human accountability for high-risk decisions and final quality. They will also build and operate production software with a reliability-first mindset.

Requirements

Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
10–14 years of experience in software development.
Strong proficiency in Java, Spring Boot, SQL, and the design of RESTful and streaming-based APIs.
Hands-on experience delivering cloud-native solutions, including microservices, containerization, and modern deployment patterns.
Working knowledge of NoSQL and distributed data stores, selected and applied appropriately at scale.
Experience leveraging AI-enabled capabilities, including GenAI or ML-driven services, to enhance developer productivity, system intelligence, or customer outcomes, with a pragmatic understanding of responsible use, scalability, and integration into enterprise platforms.

Nice To Haves

Experience in the securities or financial services industry.

Responsibilities

Multiply team impact through hands-on technical leadership, mentorship, and setting a high engineering bar.
Build trust, share credit, and strengthen cross-functional execution.
Design and build fit-for-purpose architectures that balance simplicity, quality, scale, and security.
Simplify systems and workflows by removing friction, toil, and unnecessary handoffs.
Create durable reusable patterns, guardrails, and tooling that accelerate team delivery.
Ramp up quickly in new domains, technologies, and problem spaces, adapting as needs evolve.
Apply strong engineering fundamentals across software design, data, testing, and distributed systems.
Use AI-enabled tools across design, coding, testing, review, and documentation, while maintaining human accountability for high-risk decisions, verification, and final quality.
Build software with a reliability-first mindset, incorporating secure coding practices, observability, testing, and disciplined rollout and rollback strategies.
Ensure production systems meet required levels of resiliency, performance, scalability, and operability.