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职位BNY Mellon

Vice President, Full-Stack Engineer

BNY Mellon

Vice President, Full-Stack Engineer

BNY Mellon

Boston, MA, United States

·

On-site

·

Full-time

·

2w ago

Vice President, Full-Stack Developer

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 #Life AtBNY 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 Developer to join our Fund Accounting and Investor Solutions team. This role is located in Boston, MA.

In this role, you’ll make an impact in the following ways:

  • Development of end-end delivery of scalable, multi-tier applications: architecture/design, development, test automation, CI/CD, deployment, and production support with real-time monitoring and alerting.
  • Translate business and automation needs into robust technical solutions; collaborate with cross-functional stakeholders and agile teams to define scope, prioritize work, and deliver high-quality software.
  • Design and build RESTful APIs and microservices; ensure performance, reliability, observability, and secure coding practices across services and UI layers.
  • Drive platform resiliency, availability, and integrity by instituting operational runbooks, on-call practices, logging/metrics/tracing, and rapid incident response.
  • Champion engineering excellence: coding standards, code reviews, static analysis, test coverage, and release discipline; mentor teammates and foster a culture of continuous improvement.
  • Integrate AI and emerging technologies (e.g., LLM APIs, prompt engineering, agentic frameworks) to enhance client and employee experiences and accelerate delivery.
  • Contribute to technical strategy and roadmap; make build/buy decisions; influence patterns for event-driven systems, rules/workflows, caching, and distributed systems.

To be successful in this role, we’re seeking the following:

  • Bachelor’s degree in Computer Science or related field (or equivalent experience); advanced degree preferred.
  • 8+ years of professional full-stack development experience, with demonstrated strength across both backend and frontend.
  • Backend: Expert-level Java 17+, 5+ years with Spring/Spring Boot; microservices architecture; REST API design and implementation.
  • Frontend: Angular 14+ (or React/JavaScript) with modern UI patterns, state management, and reusable component design.
  • Messaging/eventing: Hands-on experience; Kafka preferred.
  • Testing and quality: Proficient with unit and integration testing frameworks (JUnit, Mockito, Gherkin, Cucumber); code quality/static analysis using tools like Sonar Qube; exposure to Veracode or Section Experience in using Test Driven Development (TDD) and Behavior-Driven Development (BDD).
  • DevOps and CI/CD: Strong command of Git and GitLab workflows (merge requests, CI/CD integration, Git Ops principles); Docker; infrastructure-as-code fundamentals; blue-green/feature-flag release strategies.
  • Observability and logging: SLF4J/Log4j; log aggregation; metrics/tracing; experience with tools such as Splunk.
  • Data: Familiarity with MongoDB or other NoSQL stores; solid understanding of data modeling for microservices.
  • Ways of working: Agile/Scrum experience; collaborative tooling (JIRA, Confluence, Slack); strong problem-solving, communication, pair programming and team collaboration skills.
  • AI assisted development: experience in using coding assistants like Github Copilot/Claude Code/Cursor/Windsurf and others.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $68,000 and $195,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

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关于BNY Mellon

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

员工数

New York City

总部位置

$40B

企业估值

评价

4.0

31条评价

工作生活平衡

3.4

薪酬

4.8

企业文化

3.9

职业发展

4.1

管理层

3.5

78%

推荐给朋友

优点

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

缺点

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

薪资范围

28个数据点

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Associate Client Reporting Performance I

1份报告

$70,635

年薪总额

基本工资

$61,422

股票

-

奖金

-

$70,635

$70,635

面试经验

8次面试

难度

3.0

/ 5

时长

21-35周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit