Bachelor's degree; OR 4 years of relevant education and/or experience.
Advanced understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+
Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms.
Ability to correlate logs, traces, metrics, transaction flows, infrastructure telemetry, and application performance data to identify complex failure modes, determine root causes, assess business impact, and drive long-term reliability improvements.
Advanced working knowledge of Kubernetes, OpenShift, Docker containers, and microservice-based architectures, including the ability to troubleshoot complex distributed-system failures, evaluate platform health, recommend recovery strategies, and influence operational best practices.
Advanced understanding of API-driven architectures, integration patterns, authentication mechanisms, and service dependencies, including the ability to analyze end-to-end transaction flows, identify integration failures, and recommend architectural and operational improvements.
Advanced experience with ServiceNow, Jira, Confluence, and similar operational platforms, including administration of operational workflows, development of knowledge-management standards, reporting and trend analysis, and driving improvements to support processes and operational effectiveness.
Advanced knowledge of Incident, Problem, Change, Event, and Knowledge Management practices