* 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

▪ Maintained daily hands-on technical ownership (Linux systems, automation, and tooling) while helping stabilize delivery for a team transitioning to structured Agile practices.

▪ Introduced and operationalized Scrum and Jira workflows to replace ad-hoc request intake (Slack, email, calls), improving visibility, prioritization, and execution without slowing delivery.

▪ Completed formal Scrum training through PayPal and applied it pragmatically, focusing on reducing chaos, clarifying ownership, and enabling engineers to execute rather than adding process overhead.

▪ Built and maintained Linux-based automation tooling across RHEL, CentOS, and Solaris environments, supporting DBAs and SysOps engineers in large on-prem infrastructure.

▪ Designed and built a ~1,400-line Python automation and compliance framework with Ansible integration, enabling command execution and state validation across 900+ servers

▪ Enabled multiple teams to automate validation, reduce manual checks, and improve consistency across environments, with adoption expanding beyond the original team.

▪ Developed Python and Bash tooling to standardize operational workflows, reduce toil, and improve reliability in legacy systems.

▪ Brought on in a temp-to-hire capacity to build internal Linux and automation tooling supporting DBA and SysOps workflows, with a focus on reducing manual operational effort.

▪ Converted to full-time within a short period based on technical contribution, systems fluency, and ability to deliver reliable automation in a production enterprise environment.

▪ Operated 36,000+ Linux servers across 95+ global datacenters, supporting large-scale infrastructure reliability and capacity

▪ Built and maintained automation and SOP-driven tooling to streamline system validation, deployment, and operational workflows, reducing manual effort.

▪ Parsed and analyzed monitoring data (Zabbix and internal systems) to validate system health, performance, and configuration consistency.

▪ Collaborated closely with NOC and datacenter teams to minimize downtime, improve deployment efficiency, and support infrastructure growth.