Build Automation That Scales ▪ Design and ship end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration — code that runs millions of times so engineers never have to repeat themselves. ▪ Write clean, production-grade Python (and Go or Bash where it counts) to eliminate toil, reduce manual intervention, and make systems self-managing. ▪ Develop modular frameworks for release scheduling, validation, rollback, and reporting that integrate across the full software delivery lifecycle. Manage & Evolve Data Platforms ▪ Support the build, deployment, and operations of relational database systems, contributing to schema design, architecture decisions, and solution engineering for critical payment data infrastructure. ▪ Gain exposure to real-time event streaming architectures that support payment processing at scale ▪ Perform database health operations including patching, upgrades, backups, and recovery to maintain the availability and integrity of tier-1 production databases. ▪ Optimize query performance through index tuning, execution plan analysis, and replication monitoring — targeting metrics like query execution time, CPU usage, and replication latency. ▪ Automate database tasks and configuration management using tools like Ansible and Liquibase, and contribute to CI/CD pipelines that govern schema changes through TEST and PROD environments safely. ▪ Build predictive and reactive monitoring dashboards for database anomalies, surfacing health signals before they become incidents. Ship Agentic AI & ML-Powered Tools ▪ Build GenAI-powered engineering assistants that automate deployment orchestration, release governance, and environment lifecycle management. ▪ Integrate LLMs into observability, incident response, and developer support workflows, transforming reactive operations into proactive, AI-driven intelligence. ▪ Contribute to prompt engineering, model fine-tuning, and agentic automation initiatives that position PRE as one of the most AI-forward reliability organizations in financial technology. Own Observability & Platform Health ▪ Build dashboards, alerts, and metrics using Prometheus, Grafana, Splunk, or ELK that give engineers real-time clarity on复杂, globally distributed systems. ▪ Analyze system performance and availability data and turn insights into infrastructure improvements that prevent incidents before they occur. ▪ Contribute to self-healing and auto-scaling capabilities that keep critical payment infrastructure resilient without human intervention. Engineer for Reliability & Security ▪ Ensure infrastructure and data platforms meet security and compliance standards across cloud-native deployments supporting global financial services at scale. ▪ Support zero-downtime deployment strategies and high-availability architectures that Visa’s partners and billions of cardholders depend on around the clock. ▪ Participate in threat modeling, vulnerability remediation, and audit readiness activities as part of a team that treats security as a first-class engineering concern. Collaborate, Learn & Grow Fast ▪ Embed within Agile squads, working alongside senior engineers, product managers, and global PRE peers across sprint planning, reviews, and release discussions. ▪ Document runbooks, SOPs, and engineering guides that make the team smarter, faster, and more autonomous over time. ▪ Participate in on-call rotations (with robust support structures and mentorship) to build the incident response instincts that distinguish great reliability engineers.