The Director of Engineering will lead multiple engineering squads, overseeing delivery, capacity planning, and technical strategy. They are responsible for coaching engineering managers, maintaining high standards for code quality, and ensuring sustainable on-call practices.
You will own the full lifecycle of ML models, from raw data ingestion and pipeline development to model deployment and monitoring. You will also partner with operational teams to refine features and ensure model outputs are interpretable and actionable.
Lead the platform engineering team while remaining hands-on with infrastructure, tooling, and CI/CD pipelines. Drive the migration to standardized Kubernetes deployments and ensure infrastructure meets audit and security compliance standards.
