Responsibilities
• Define and drive the architecture and modernization strategy for DevOps, Platform Engineering, and AI Enablement across Operations, establishing scalable standards, platforms, and practices that improve software delivery, reliability, and engineering productivity.
• Architect and lead next-generation platform capabilities, including self-service engineering platforms, environment management, deployment orchestration, parameter management, developer experience platforms, and automation frameworks that accelerate engineering teams and reduce operational overhead.
• Shape and execute the Operations AI roadmap by identifying, evaluating, and scaling AI-powered solutions that improve developer productivity, automate operational workflows, enhance decision-making, and drive measurable business outcomes.
• Establish reusable platform patterns, governance models, engineering standards, and automation capabilities that promote consistency, scalability, security, compliance, and operational excellence across the enterprise.
• Partner with engineering, product, operations, and leadership teams to align DevOps, Platform Engineering, and AI investments with organizational priorities and long-term modernization goals.
• Evaluate emerging technologies, platform engineering practices, and AI innovations to continuously evolve the organization’s engineering capabilities and technology strategy.
• Drive adoption of modern engineering practices, including Platform Engineering, DevSecOps, Infrastructure as Code (IaC), Observability, Automation, AI-assisted development, and Self-Service Engineering.
• Provide architectural leadership and technical guidance across multiple teams, influencing technical direction and ensuring alignment to enterprise standards and best practices.