* Own end-to-end production deployment lifecycle for fraud and risk rule systems (validation → rollout → monitoring → rollback), ensuring transaction integrity and system stability
* Build and maintain automation across Python, Bash, Linux systems, and API-driven workflows, eliminating manual operational steps and reducing failure risk
* Partner directly with fraud and risk stakeholders to define safe deployment patterns and monitoring strategies for high-throughput systems
* Lead incident response in high-risk production environments, executing rollbacks, rule disables, and corrective actions under time pressure
* Debug issues across system boundaries (Spring Boot APIs, React UI, backend services), identifying root causes in complex production flows
* Define and evolve observability practices using Datadog and system metrics to detect regressions, anomalies, and traffic-related issues
* Convert one-off fixes into durable operational patterns through SOPs and reusable workflows
* Serve as a senior Linux and systems subject-matter expert for production debugging and high-impact changes
* Use AI-assisted development tools to accelerate development and troubleshooting while validating outputs through controlled testing