As a Professional System Engineer at AT&T, you will be at the forefront of delivering innovative solutions that enhance the customer experience across various channels, including online, retail, and care. Your role will involve supporting systems that are critical to AT&T's customer interactions, particularly through multiple internet-facing eCommerce applications, databases, and technology stacks. You will analyze production alerts and dashboards to identify outages that impact customers, ensuring that system health is continuously monitored to prevent potential issues that could lead to service disruptions. In this position, you will be responsible for evaluating both upcoming projects and existing production monitoring systems to ensure that applications are equipped with the necessary monitoring tools to capture any customer-impacting outages. You will quantify the effects of production outages on customers, ensuring that appropriate support is provided for critical issues. Your duties will include providing 24x7 production support, troubleshooting incidents, and responding to outages effectively. You will also be tasked with application performance monitoring, dashboard creation, and implementing corrective actions to optimize existing alerts, thereby reducing false alarms and improving alert accuracy. Your role will require you to engage with various stakeholders across operations, product delivery, infrastructure, and business units to build consensus during high-severity production outages. You will work on incident management and response as part of a Tier 1 production operations team, deploying cloud and other networks that deliver digital products to both employees and customers. Additionally, you will develop and implement customer journey dashboards to proactively monitor the availability of customer experiences, applying your knowledge of operational practices to enhance the organization's capability maturity. Networking and troubleshooting will be key components of your role, utilizing technologies such as Docker, Kubernetes, Microsoft Azure Cloud, and Unix. You will also create dashboards using tools like Dynatrace, ELK, and Grafana, and utilize customer experience analytics tools including Quantum Metric and Tealeaf, along with visualization tools like Kibana and Grafana. Debugging logs from Java and microservices, as well as utilizing the EFK stack, Dynatrace, Catchpoint, and Nagios, will also be part of your responsibilities.