VP, Software Engineering Manager

LPL Financial

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Fort Mill, SCCharlotte, NC
Salary
$155,300–$258,800 / yr
Posted
28 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $207k
$138k most similar roles pay here $289k

This role pays less than 67% of similar roles. Most pay $187,825–$235,137 — the shaded band above. At the midpoint, this role pays about $207k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 59 open roles on FindRole.

Listed pay typically runs $140,959–$234,882 across 54 roles with salary data.

Most-posted roles

View all roles at LPL Financial

At a glance

TL;DR · VP, Software Engineering Manager

VP, Software Engineering Manager The VP, Software Engineering Manager leads multiple engineering teams within the Investor Experience Technology organization, focusing on Digital Experience, Cash & Liquidity solutions. This leader is responsible for overseeing engineering strategy, platform modernization, and organizational development to deliver secure, scalable money movement and payment processing systems. The role involves driving cloud-native architectures, microservices, API-first development, and event-driven systems while championing AI-assisted software engineering practices to improve developer productivity. Key technical requirements include experience with AWS, containers, serverless technologies, .NET/C#, Angular, TypeScript, and DevSecOps methodologies. The position requires a strategic leader to manage large-scale Agile delivery, navigate complex regulatory standards in the financial services sector, and oversee infrastructure for digital platforms. This role solves critical business problems by modernizing legacy systems into resilient, high-performing technology solutions that enhance advisor and investor experiences through innovative engineering excellence.

What you'll do

  • Lead and develop multiple software engineering teams across digital experience and money movement domains.
  • Execute technology roadmaps and modernization initiatives aligned with business priorities.
  • Drive adoption of cloud-native architectures, microservices, and API-first development practices.
  • Implement AI-assisted engineering capabilities to improve developer productivity and software quality.
  • Partner with cross-functional teams to deliver secure, scalable, and resilient technical solutions.
  • Oversee delivery planning, resource management, budgeting, and risk mitigation for Agile teams.
  • Establish engineering standards, DevSecOps practices, and operational excellence programs.
  • Manage relationships with executive stakeholders and external vendors to ensure project success.

What we're looking for

  • 15+ years of software engineering experience supporting enterprise application development and technology delivery.
  • 10+ years of leadership experience managing multiple software development teams and large-scale engineering organizations.
  • Experience leading cloud migration, platform modernization, and digital transformation initiatives.
  • Experience with enterprise architecture, cloud technologies, API/integration platforms, SDLC practices, and DevSecOps methodologies.
  • Demonstrated ability to lead large-scale Agile delivery organizations and partner with senior business and technology stakeholders.
  • Experience with Digital Experience, Cash Management, Liquidity Solutions, Payment Processing, or Money Movement platforms (preferred).
  • Experience with AWS cloud technologies, cloud-native architectures, containers, serverless technologies, and event-driven systems (preferred).
  • Experience with .NET/C#, Angular, TypeScript, and implementing AI-assisted engineering practices (preferred).

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