Principal Software Engineer - Java, AWS

- Define the platform strategy and standards for machine learning packaging, deployment, serving, and observability, ensuring consistent adoption across teams and business units - Collaborate with Data Scientists to package, scale, and operationalize models; establish APIs, guardrails, and automation processes to transition from experimentation to stable production - Work with platform and application engineers to provide secure and scalable access to traditional and generative models via enterprise gateways and services - Enhance model and data observability tooling to detect data and feature drift, monitor prediction quality and uncertainty signals, and automate diagnostics and explainability - Lead incident response and post-mortem reviews across platforms, implement systemic improvements, and update standards to avoid future issues throughout applications and the platform - Improve engineering speed by introducing reusable frameworks, paved paths, and CI/CD templates that streamline integration, minimize repetitive tasks, and enhance scalability and reliability - Minimize costs and complexity in the machine learning ecosystem through sound technology selections, clear abstractions, and a strategic long-term platform roadmap