4LS Support Lead

We are looking for an experienced 4LS Support Lead with 12+ years of experience supporting cloud-native, distributed, and observability applications in mission-critical production environments. The role requires very good expertise in advanced troubleshooting across applications, microservices, Kubernetes platforms, infrastructure, networking, databases, and observability stacks, with the ability to lead critical incident recovery, perform deep Root Cause Analysis (RCA), and drive corrective and preventive actions as the highest technical escalation point. The role requires participation in a 24x7 rotational shift model supporting global customer deployments and critical escalations. Must Have Engineering degree with 12+ years of experience in production support, incident management, and technical leadership for large-scale cloud-native and distributed systems. Hands-on expertise in Kubernetes/OpenShift, microservices, Linux, and containerized application platforms, including troubleshooting complex issues across application, platform, and infrastructure layers. Proven experience in Root Cause Analysis (RCA), performance troubleshooting, service recovery, and resolution of critical production incidents, with the ability to act as the highest technical escalation point for customer-critical issues. Deep knowledge of OAM/FCAPS and observability technologies, including fault and performance management, metrics, logs, traces, monitoring, alerting, and operational analytics, along with cross-functional collaboration and SLA management. Experience troubleshooting complex networking, databases, Kafka/messaging systems, and distributed application architectures in large-scale production environments. Exposure to 4G/5G Core Networks, telecom network functions, and 3GPP standards. Proven ability to collaborate with Engineering, Product, Operations, and Customer teams to drive operational improvements, platform reliability, and continuous service enhancement. Good to Have Programming/Scripting exposure, Open Telemetry and familiarity with AI tools is preferred.