VP, Global Platform Engineering — Cloud-Native

Broadridge Financial Solutions

New York (NY)

On-site

USD 250,000 - 275,000

Full time

14 days+
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Job summary

Broadridge is seeking a Vice President of Software Engineering to lead the design, development, and modernization of a next-generation, cloud-native platform enabling large-scale customer communications.

You will lead a globally distributed engineering organization, drive architecture, data models, and ETL pipelines, and partner with product, security, and operations to deliver high-availability systems. Strong leadership and AI tooling experience are valued.

Qualifications

  • 15+ years of progressive software engineering experience, including senior leadership roles.
  • Experience building and modernizing large-scale enterprise platforms.
  • Strong development experience with AWS, Kafka, data modeling, ETL pipelines.
  • Deep understanding of distributed systems, APIs, and event-driven architectures.
  • Demonstrated ability to lead complex, multi-year transformation initiatives.
  • Led distributed Agile engineering teams; AI tooling experience is valued.

Responsibilities

  • Lead design, development, and modernization of a next-generation platform.
  • Oversee data architecture, ETL pipelines, and system integrations.
  • Define target architecture for cloud-native, scalable systems.
  • Drive CI/CD, code quality, observability, and reliability.
  • Lead globally distributed engineering teams; mentor leaders.
  • Partner with product, business, and security to align tech with goals.

Skills

AWS
Kafka
Data modeling
ETL pipelines
APIs
Distributed systems
Event-driven
AI tooling
Leadership
Agile engineering

Tools

OpenText Exstream
SmartCOMM
Adobe

Job description

Broadridge is seeking a Vice President of Software Engineering to lead the design, development, and modernization of a next-generation, cloud-native platform enabling large-scale customer communications.

You will lead a globally distributed engineering organization, drive architecture, data models, and ETL pipelines, and partner with product, security, and operations to deliver high-availability systems. Strong leadership and AI tooling experience are valued.

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