Daniel Schley is a senior engineering leader with over 20 years of experience building and scaling software, data, and platform teams in complex, fast-growing organizations. He has led teams responsible for production systems through periods of low maturity, high autonomy, and structural ambiguity, helping turn recurring incidents and operational chaos into clearer decision-making, stronger technical foundations, and more effective engineering practices.

His work sits at the intersection of decision-making under pressure, incident-driven learning, and modern platform engineering. With a growing focus on how AI-assisted development amplifies existing strengths and weaknesses in engineering organizations, Daniel speaks from hard-earned experience, sharing concrete failure modes, real incident patterns, and pragmatic approaches teams can apply immediately to improve reliability and learning at scale.