M
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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