Managing Director, Head of Software & Platform Engineering

Madison-Davis, LLC lists an executive role for a technology-driven enterprise software organization. The leader will oversee software and platform engineering, guide architecture and delivery, strengthen developer platforms and reliability, and scale a product-oriented engineering culture.

Responsibilities:

• Oversee teams responsible for application development, software architecture, production releases, and ongoing engineering delivery
• Lead platform engineering, SRE, cloud infrastructure, and observability functions
• Establish architectural standards across distributed applications, Kubernetes, and cloud-native infrastructure
• Develop internal developer platforms and engineering automation to improve productivity and deployment efficiency
• Drive improvements in CI/CD, Infrastructure-as-Code, release quality, and production reliability
• Participate in important technical decisions and production code reviews, particularly within Python environments
• Hire, coach, and scale engineering managers and senior technical leaders
• Collaborate with executive and product stakeholders to align technical priorities with software delivery objectives

Requirements:

• Senior software engineering leadership experience with direct accountability for production application development
• Demonstrated platform engineering ownership with strong Kubernetes and cloud-native experience
• Proven success managing sizable engineering organizations
• Strong Python development background and current code-level technical credibility
• Deep understanding of distributed-system architecture and production software design
• Practical SRE, observability, and reliability engineering experience
• Strong Infrastructure-as-Code, engineering automation, and CI/CD knowledge
• Experience improving engineering processes, software release quality, and developer productivity
• Strong technical leadership, organizational development, and executive communication skills
• Experience adopting AI-assisted software development or agentic engineering tools
• OpenStack, VMware, or hybrid/private-cloud modernization
• Exposure to Go, Rust, Java, or Node.js
• Experience with policy-as-code and developer-experience programs
• Background scaling engineering teams through significant organizational growth