Teams at Cardinal Health

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Leads day-to-day delivery across data engineering, analytics, and ML/AI; manages backlogs, sprint planning, capacity tracking, Jira workflows and reporting. Directly manages 15–20 engineers, oversees performance and retention, resolves delivery escalations, and presents performance metrics to senior stakeholders. Requires strong Jira configuration, agile delivery, SQL, cloud data warehousing, and pipeline-development knowledge.

Designs, develops, implements, and supports enterprise-scale middleware integrations using Boomi and MuleSoft. Builds connectors, workflows, pipelines, APIs, and event-driven integrations across SAP, Kafka, Salesforce, and relational databases. Establishes architecture patterns for highly available and fault-tolerant systems, deploys cloud-based runtimes and containers, monitors platform health, resolves production issues, and drives continuous improvement. Collaborates with cross-functional teams, leads complex initiatives, defines processes, and mentors colleagues.