Rajneesh Rane

Java Application Support Engineer | Kubernetes | Spring Boot | Microservices | L2/L3

Talent

NagpurMember since 22 May 2026

KubernetesDockerContainer MonitoringJava / J2EEDebuggingOracleSQLDB2SplunkNew RelicGCP MonitoringCloud LoggingCustom DashboardsAlerting & Threshold TuningGoogle Cloud Platform (GCP)CI/CDConfiguration ManagementLinux / UnixShell scriptingSpring BootMicroservicesRESTful APIITSM/ITILServiceNow

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KubernetesDockerContainer MonitoringJava / J2EEDebugging

About

Production Support Engineer with 3+ years of L2/L3 experience supporting Java, Spring Boot, and Microservices applications in high-availability, mission-critical enterprise environments. Hands-on expertise in Kubernetes-based application support — including pod diagnostics, log aggregation, container health monitoring, and cluster-level troubleshooting — combined with deep Oracle/SQL database analysis, RESTful API debugging, and Linux-based operations. Proven track record of achieving 99.9% uptime SLA, 95% incident compliance, and 25% faster critical incident recovery.

Experienced with ITSM/ITIL practices (ServiceNow) and observability tools (Splunk, New Relic, GCP Monitoring) for proactive platform management.

Experience

Technology Analyst – Production Support Engineer L2/L3 at Infosys Limited (2022-04 – Present)

Providing 24/7 L2 and L3 production support for Java, Spring Boot, and Microservices applications deployed on Kubernetes and GCP, covering incident management, deep-dive RCA, container/database troubleshooting, and proactive observability — in alignment with ITSM and ITIL frameworks.

Java & Kubernetes App Support: Delivered L2/L3 production support for Java, Spring Boot, and Microservices applications on Kubernetes clusters — resolving 1,000+ incidents with 95% SLA compliance; used kubectl (logs, exec, describe, top) to diagnose CrashLoopBackOff, OOMKilled, and pod scheduling failures in live environments.
Root Cause Analysis & Debugging: Led in-depth RCA for 300+ complex incidents annually — identifying root causes across Kubernetes infrastructure, Java application code, and Oracle/SQL database layers; implemented permanent fixes that reduced recurrence by 30% and improved application performance by 15%.
Incident Management & Escalation: Acted as primary escalation point for Sev-1/Sev-2 incidents — led 50+ major incident bridge calls, coordinating with global engineering teams to achieve 25% faster critical recovery; diagnosed API timeouts, microservice integration failures, and DB locks/deadlocks restoring system throughput.