BNY Mellon

Vice President, Full-Stack Engineer

BNY Mellon
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24 hours ago
Pune, IndiaStaff+

Responsibilities

  • Design, develop, test, deploy, and maintain full-stack applications supporting applied AI solutions, enterprise platforms, and AI-enabled product flows.
  • Integrate AI/ML capabilities, model outputs, prompts, automation workflows, data services, APIs, and enterprise systems into reliable product experiences.
  • Enhance, troubleshoot, debug, upgrade, and support AI platforms and existing systems, including defect resolution, release support, performance improvements, and technical-debt reduction.
  • Translate product requirements into technical designs, implementation plans, and maintainable working software with product, engineering, data science, platform, operations, risk, and governance teams.
  • Participate in solution design, code reviews, technical documentation, automated testing, software verification, release planning, deployment, and production-readiness activities.
  • Ensure solutions meet enterprise architecture, security, privacy, resiliency, observability, maintainability, and change-management standards.

Requirements

  • 10+ years of experience in software development, full-stack engineering, application development, platform support, or related technology roles.
  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience.
  • Experience developing, supporting, and enhancing enterprise applications using modern application, API, integration, and platform technologies.
  • Strong understanding of software development lifecycle practices, automated testing, code reviews, release management, production support, and enterprise software delivery.
  • Experience building secure, scalable, testable, and maintainable software in complex enterprise environments.
  • Familiarity with AI-enabled applications, automation platforms, data-driven products, model integrations, prompt-based workflows, or AI/ML-enabled software solutions.
  • Strong troubleshooting skills, including application debugging, log review, defect resolution, and application reliability improvements.
  • Understanding of security, privacy, performance, resiliency, and maintainability considerations in enterprise software development.
  • Experience with cloud platforms, containerization, microservices, DevOps tooling, observability, APIs, data integrations, and production support practices.
  • Experience with Python, Java, JavaScript or TypeScript, React, Node.js, SQL or NoSQL databases, and modern engineering toolchains.
  • Experience in financial services, enterprise technology, or another highly regulated environment is preferred.
  • Exposure to generative AI, large language models, retrieval systems, agentic workflows, AI-assisted development, enterprise AI platforms, AI observability, workflow automation, prompt orchestration, model lifecycle tooling, or data pipeline integration is a plus.
BNY Mellon

About BNY Mellon

10,000+ employees

BNY Mellon is a public, New York–based global financial services company providing investment and wealth management, asset servicing, clearance, collateral, and treasury services to institutions, banks, governments, and individuals. It also offers data and investment operations software, including the Eagle platform, delivered as cloud and managed services. Founded in 1784, it is one of the world’s largest custodian banks and asset servicers.

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