Responsible for the entire integration lifecycle, including the design, development, release, and operation of webMethods flows. This includes implementing adapter integrations, managing CI/CD pipelines, and performing system monitoring and performance tuning.
Responsible for end-to-end AI deployments from discovery and scoping to architecture and production rollout. The role involves bridging the gap between business requirements and technical implementation for mid-sized and large enterprises.
Set up and operate production-ready Kubernetes environments and manage modern container platforms. Focus on ensuring security, scalability, and automation through Infrastructure as Code and GitOps.
