Director, Full-Stack Engineer

BNY Mellon•New York, NY
•$147,000 - $275,000

About The Position

BNY is seeking a Director, Full-Stack Engineer to provide hands-on technical leadership and amplify team impact. 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 work while ensuring delivered systems are secure, scalable, resilient, and valuable. The position is located in Pittsburgh, Pennsylvania. The role designs and builds fit-for-purpose architectures, simplifies systems and workflows, and creates reusable patterns, guardrails, and tools that help teams deliver. It applies engineering fundamentals across software design, data, testing, and distributed systems, and uses AI-enabled tools across design, coding, testing, review, and documentation with human accountability for high-risk decisions and final quality. Production systems are expected to meet required standards for resiliency, performance, scalability, security, and operability. BNY describes itself as a global financial services company and highlights its technology-focused culture, competitive compensation, benefits, wellbeing programs, and paid leaves. The role’s expected base salary is referenced in the Job Info section, but no salary amount is included in the supplied description.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
  • At least 14 years of professional software development experience, with demonstrated depth in full-stack engineering and system or application architecture.
  • 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 enterprise-platform integration.

Nice To Haves

  • An advanced degree.
  • Prior experience in securities, financial services, or modern engineering-first organizations.

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 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.

Benefits

  • Competitive compensation and benefits.
  • Wellbeing programs and flexible global resources and tools.
  • Paid leaves, including paid volunteer time, vacation, and sick time, subject to eligibility and position.
  • Eligibility to enroll in a 401(k) plan, subject to applicable plan terms.
  • Company-sponsored medical, dental, vision, and basic life insurance plans for eligible employees and dependents.
  • Eligible employees may receive an annual discretionary incentive award.
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