Proven experience managing and operating workloads deployed on Kubernetes, on-premise (bare metal / VMs), and PCF, with good-to-have exposure to public cloud platforms (AWS, Azure)
Hands-on expertise in containerization (Docker) and Kubernetes orchestration.
Strong experience with CI/CD tools, scripting (Shell/Python/Groovy), and automation frameworks.
Solid knowledge of monitoring, observability, performance testing, and scaling of distributed systems (e.g., Dynatrace, Splunk, JMeter, LoadRunner).
Strong programming experience (preferably Java / Spring Boot) Hands-on expertise in JMeter and LoadRunner for load, stress, and performance testing.
Experience with Kubernetes, Docker, and CI/CD environments.
Strong scripting skills in Shell/Python/Groovy.
Experience with Dynatrace, Splunk, Prometheus/Grafana for monitoring and performance analysis.