Director, Technology – AI Engineering Transformation

We are seeking a Director, Technology to lead the transformation of our software delivery organization through AI-accelerated engineering practices, modern DevOps platforms, and developer experience (DevEx) innovation. This leader will oversee cross-functional teams spanning DevOps/SRE, Developer Tooling, and Automation Engineering while driving enterprise-wide adoption of AI-assisted software development.

This highly visible role requires a blend of technical expertise, organizational leadership, and change management experience to modernize how software is built, tested, deployed, and operated across the enterprise.

What You'll Do:

• Lead the strategy and execution of AI-accelerated software development and delivery across engineering teams.
• Drive adoption of AI-assisted development tools, agentic workflows, and modern engineering practices to improve developer productivity and software quality.
• Manage and develop teams responsible for DevOps, SRE, developer tooling, release engineering, and automation platforms.
• Establish governance, security controls, and best practices for AI-enabled software development.
• Own the engineering toolchain, including CI/CD, code quality, release automation, and cloud-native platform capabilities.
• Define and measure engineering effectiveness through DORA metrics, DevEx indicators, platform reliability, and operational performance.
• Partner with product, architecture, security, and business leaders to align technology investments with enterprise goals.
• Lead executive communications, business case development, and organizational change initiatives supporting engineering modernization.

What You'll Need:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• 8+ years of progressive technology leadership experience, including leading software engineering, platform engineering, or DevOps organizations.
• 3+ years managing teams focused on SDLC automation, platform engineering, release engineering, or digital product delivery.
• Hands-on experience with cloud-native technologies, Kubernetes, and public cloud platforms (AWS, Azure, or GCP).
• Expertise implementing CI/CD pipelines, Infrastructure as Code (Terraform), and modern software delivery practices.
• Experience deploying and scaling AI-assisted development tools such as GitHub Copilot, Cursor, or similar AI coding platforms.
• Proven success leading enterprise-scale technology transformations and driving measurable improvements in delivery performance.
• Strong knowledge of platform reliability, observability, security, compliance, and operational excellence.

What You'll Bring:

• Deep technical expertise in modern application architectures, DevOps, SRE, and software engineering best practices.
• Strong understanding of AI-native development workflows, automation, and engineering productivity platforms.
• Experience with developer tooling ecosystems including GitHub, Jira, SonarQube, Artifactory, Backstage, LaunchDarkly, or similar platforms.
• Exceptional communication and executive storytelling skills with the ability to translate technical strategy into business outcomes.
• Demonstrated success leading organizational change and driving adoption across large engineering organizations.
• Strong talent leadership, including hiring, coaching, and developing high-performing engineering teams.
• A data-driven approach to improving engineering velocity, platform reliability, and developer experience.
• Passion for innovation and building modern engineering organizations capable of delivering at enterprise scale.

What Succes Looks Like:

• AI-assisted development becomes a core capability across engineering teams, driving measurable improvements in productivity and delivery speed.
• Engineering teams consistently deliver secure, reliable, and scalable software through modern automated delivery practices.
• Developer experience improves through streamlined tooling, reduced friction, and increased automation.
• Platform reliability, operational transparency, and delivery performance improve across the organization.
• Executive stakeholders understand and support the engineering transformation roadmap through clear business value and measurable outcomes.