Vice President, Full-Stack Engineer

BNY Mellon•Boston, MA

9h•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 and champions of inclusion, 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 Vice President , Full-Stack Engineer to join our Asset Servicing Client Platform team. This role is located in Boston, MA We are looking for a Full Stack Engineer with strong experience in performance measurement, financial data, and enterprise application development. This role will design and deliver scalable applications, automated solutions, and data products that support decision-making across Technology and Operations. The ideal candidate brings hands-on experience with core financial datasets, including positions, transactions, security master/reference data, FX, corporate actions, vendor benchmarks, and account hierarchies, along with strong technical skills in SQL, Oracle, Python, Java, JavaScript, and Angular. This individual should also be comfortable working with cloud-based datasets, API, XML, JSON data structures, and modern data integration patterns. Experience applying AI-enabled tools or solutions to improve analytics, automation, or operational efficiency is a plus. Experience with the Eagle product, including its data model, integration frameworks, and performance reporting capabilities, is strongly preferred.

Requirements

7–10+ years of experience in software engineering, full-stack development, or enterprise application development, preferably in financial services or another highly regulated, data-intensive environment.
Strong hands-on experience with Java, Spring Boot, Python, SQL, Oracle, JavaScript, TypeScript, and Angular.
Proven experience building and supporting enterprise-grade full-stack applications, including user interfaces, APIs, backend services, and database-driven solutions.
Strong experience developing REST APIs, integrating with external/internal platforms, and working with JSON and XML data structures.
Advanced SQL and database experience, including query optimization, validation, reconciliation, troubleshooting, and data analysis.
Experience with containerization and orchestration technologies such as Docker.
Familiarity with CI/CD pipelines, Git-based version control, automated testing, and secure SDLC practices.
Experience working with cloud-based data platforms, modern data pipelines, and enterprise integration patterns.
Strong understanding of data warehousing concepts, including dimensional modeling, ETL/ELT, and analytics-oriented data structures.
Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work effectively across cross-functional teams.
Experience working in Agile/Scrum environments.

Nice To Haves

Experience with the Eagle product suite, including data model, ingestion/enrichment flows, integration frameworks, and performance reporting capabilities.
Familiarity with front-, middle-, and back-office processes across asset servicing or asset management.
Experience supporting applications tied to performance measurement, attribution, NAV, risk/stat reporting, operational workflows, and client SLA deliverables.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with messaging/event-driven technologies such as Kafka, JMS, or MQ.
Knowledge of monitoring and observability tools such as Splunk, Grafana, AppDynamics, Dynatrace, or Prometheus.
Experience modernizing legacy platforms and improving engineering efficiency through automation and AI-enabled development tools such as GitHub Copilot, Windsurf, Claude Code, or similar platforms.
Strong understanding of data quality, lineage, audit trails, and reconciliation controls in enterprise reporting environments.

Responsibilities

Design, build, enhance, and support full-stack applications for performance measurement, client reporting, workflow automation, operational processes, and data analysis.
Develop scalable solutions across the stack, including user interfaces, APIs, backend services, business logic, and database integrations.
Build and maintain responsive, user-friendly applications and dashboards using Angular, TypeScript/JavaScript, and modern UI design principles.
Develop and optimize backend services using Java, Spring Boot, Python, SQL, and Oracle, with a focus on performance, reliability, and maintainability.
Design and implement RESTful APIs, service integrations, and reusable components to enable interoperability across warehouse, operational, and vendor platforms.
Work with complex financial datasets including positions, transactions, reference data, FX, corporate actions, pricing/valuation, and account hierarchies to support reporting and analytics use cases.
Implement controls for data quality, reconciliation, exception handling, monitoring, auditability, and operational resilience.
Contribute to modern engineering practices including automated testing, CI/CD, code reviews, secure coding, and containerized deployment patterns.
Partner closely with product owners, business analysts, QA, architects, and business stakeholders in an Agile delivery model.
Support application modernization efforts, including simplification of legacy solutions, improved developer productivity, and opportunities to leverage AI-enabled tools for automation and efficiency.
Participate in troubleshooting, root cause analysis, production support, and continuous improvement efforts for business-critical applications.