Teams at WebMD

Operate and architect large-scale distributed data infrastructure across Kafka, Hadoop HDFS, Ceph, SQL Server, bare-metal systems, and hybrid cloud environments. Responsibilities include capacity planning, reliability engineering, automation, observability, incident response, backup and recovery, platform tooling, and architecture decisions. The role requires expertise with petabyte-scale systems or billions of daily events, mentoring engineers, and shaping infrastructure standards across engineering organizations.

Owns reliability for GCP-hosted BI APIs and data services, including uptime monitoring, incident response, observability, security reviews, infrastructure automation, and cloud cost alerting. The role also develops and maintains LookML models, Liquid templates, BigQuery SQL, dbt integrations, and data quality processes. Collaboration with backend and data engineers supports reliable pipelines, reproducible deployments, and continuous platform improvement.

Design, build, and operate a large-scale Kubernetes platform supporting distributed systems, data infrastructure, and business-critical services. Responsibilities include Kubernetes lifecycle management, reliability and observability, incident response, infrastructure automation, GitOps workflows, networking, platform security, developer self-service, and bare-metal operations. The role requires hands-on architecture, operational excellence, and technical leadership across infrastructure platforms.