Support Engineer

Nokia

. Provide L4 technical support for cloud-native applications and distributed systems .

Posted 10/27/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in providing L4 technical support for cloud-native applications and distributed systems, with a strong focus on incident management, troubleshooting, and operational excellence. Proficient in using AI-driven insights for root cause analysis and enhancing platform stability across production environments.

Highest-signal resume keywords

Cloud-Native Applications SupportKubernetes/OpenShift ExpertiseRoot Cause Analysis (RCA)OAM/FCAPS ConceptsIncident Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production SupportTroubleshootingService Recovery ProceduresLog AnalysisPerformance TroubleshootingObservability TechnologiesLinux EnvironmentsDatabase ManagementKafkaNetworking Fundamentals

Soft Skills

Customer-Facing SkillsEscalation ManagementCollaboration

Tools & Technologies

AI-Assisted Troubleshooting ToolsMonitoring TechnologiesAlerting SystemsDashboards

Certifications & Qualifications

Engineering Degree

Industry Keywords

4G/5G Core Networks3GPP StandardsTelecom Network FunctionsSNMP-Based Monitoring

Tech Stack

Tools & technologies

CloudDistributed SystemsKafkaKubernetesLinuxMicroservicesOpenShift

About the role

Key responsibilities & impact

Provide L4 technical support for cloud-native applications and distributed systems
Ensure high availability, reliability, and operational excellence across production environments
Troubleshoot and resolve complex production incidents
Perform service recovery actions and use AI-assisted troubleshooting and analytics tools for diagnosis, impact assessment, and resolution
Lead root cause analysis investigations for critical incidents and recurring issues
Drive corrective and preventive actions using AI-driven insights to identify patterns, reduce recurrence, and improve platform stability and resilience
Monitor, analyze, and address faults, performance degradations, configuration issues, and service-impacting events across customer deployments using OAM/FCAPS expertise
Collaborate with Engineering teams, customers, and L2/L3 support teams on escalations and major releases
Enhance troubleshooting methodologies, automation, and operational processes
Participate in a 24x7 rotational shift model for global customer deployments, critical incidents, and high-priority escalations

Requirements

What you’ll need

Engineering Degree
5+ years of experience in production support, incident management, and troubleshooting of large-scale cloud-native applications and distributed systems
Hands-on expertise with Kubernetes/OpenShift, containerized environments, microservices architectures, and service recovery procedures
Experience in OAM/FCAPS concepts, including fault, configuration, performance, and service-impact analysis
Experience in Root Cause Analysis (RCA), log analysis, debugging, performance troubleshooting, and resolving complex production issues
Good understanding of observability and monitoring technologies, including metrics, logs, traces, dashboards, and alerting systems
Experience with Linux environments, databases, Kafka, and networking fundamentals in production deployments
Excellent customer-facing and escalation management skills, with experience collaborating across Engineering, Support, Operations, and Customer teams
Exposure to 4G/5G Core Networks, 3GPP standards, telecom network functions, and SNMP-based monitoring is highly desirable

Benefits

Comp & perks

Laptop support with ordering provided
Hybrid work arrangement
Regular 24x7 rotational shift model
Inclusive workplace and equal employment opportunity commitment
Recruitment process designed to support an inclusive candidate experience