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Vice President of Software Engineering

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Remote

Vice President of Software Engineering

Madison-Davis, LLC

Vice President of Software Engineering

Skills

PythonJavaMicroservicesAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$240,000 – $295,000 / year

Location:

New York, NY, USA

Work mode:

Remote

Published on:

13 August 2026

What they need


What You'll Lead:

  • Define and execute the long-term engineering modernization strategy for a large-scale enterprise platform.
  • Lead the transformation of legacy applications into modern cloud-native architectures.
  • Drive enterprise adoption of AI-assisted software engineering and emerging agentic AI capabilities.
  • Modernize application architecture through APIs, microservices, and scalable distributed systems.
  • Build an AI-first engineering organization focused on automation, developer productivity, and engineering excellence.
  • Improve software delivery through Agile, DevOps, CI/CD, platform engineering, and modern SDLC practices.
  • Partner with executive leadership to align technology investments with long-term business strategy.
  • Lead organizational transformation across engineering teams, processes, and operating models.
  • Mentor engineering leaders while building a culture of innovation, ownership, and continuous improvement.
  • Establish best practices around architecture, software quality, platform reliability, and engineering performance

.

What You Bring:

  • Extensive executive-level software engineering leadership experience.
  • Proven success leading enterprise application modernization initiatives.
  • Strong background in Java-based enterprise software development.
  • Experience with Python and modern software engineering ecosystems.
  • Deep expertise designing cloud-native platforms and distributed systems.
  • Experience building API-first and microservices-based architectures.
  • Demonstrated success implementing AI capabilities within software engineering organizations.
  • Experience leading large-scale engineering and organizational transformations.
  • Strong understanding of Agile delivery, DevOps, CI/CD, platform engineering, and software lifecycle management.
  • Excellent executive communication and stakeholder management skills.
  • Experience implementing AI-assisted development workflows and agentic AI concepts.
  • Experience within regulated, enterprise-scale technology environments is highly preferred.
  • Experience leading globally distributed engineering organizations and enterprise cloud modernization initiatives is a plus.

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