4LS Support Engineer

Infinera Corporation; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infinera Corporation in Bengaluru is seeking an experienced L4 Support Engineer with 5+ years of experience in supporting cloud-native applications and distributed systems.

You will troubleshoot production incidents, perform root cause analysis, and ensure platform reliability, working with Engineering and global support teams in a 24x7 rotational shift.

Qualifications

• Engineering degree with 5+ years in production support and incident management.
• Hands-on with Kubernetes/OpenShift, containers, microservices, and service recovery.
• Experience with OAM/FCAPS concepts and fault, configuration, performance analyses.
• Root cause analysis, log analysis, and resolution of complex production issues.
• Strong observability: metrics, logs, traces, dashboards, and alerts.

Responsibilities

• Provide L4 technical support for cloud-native applications and distributed systems across production environments.
• Troubleshoot incidents, perform service recovery actions, and use AI-assisted analytics for diagnosis.
• Lead RCA investigations and drive corrective actions to improve stability.
• Utilize OAM/FCAPS expertise to monitor faults and performance issues in deployments.
• Collaborate with Engineering, Customers, and L2/L3 support to manage escalations and releases.
• Participate in a 24x7 rotational shift to support global deployments.

Skills

Kubernetes

OpenShift

Microservices

RCA

Observability

Education

Engineering degree

Tools

Kafka

Job description

Job Description:

We are looking for an experienced L4 Support Engineer with 5+ years of experience in supporting cloud-native applications and distributed systems. The role involves troubleshooting complex production issues, recovery actions, performing root cause analysis, and ensuring platform reliability and operational excellence. Strong troubleshooting knowledge of OAM/FCAPS is mandatory, while exposure to 4G/5G Core Networks is an advantage. The candidate will work closely with Engineering, L2/L3 support teams and Customers and must be willing to work in a 24x7 rotational shift model on a regular basis to provide round-the-clock support for global customer deployments and critical escalations.

Responsibilities

• Provide L4 technical support for cloud-native applications and distributed systems, ensuring high availability, reliability, and operational excellence across production environments.
• Troubleshoot and resolve complex production incidents, perform service recovery actions, and leverage AI-assisted troubleshooting and analytics tools to accelerate problem diagnosis, impact assessment, and resolution.
• Lead root cause analysis (RCA) investigations for critical incidents and recurring issues, driving corrective and preventive actions while utilizing AI-driven insights to identify patterns, reduce recurrence, and improve platform stability and resilience.
• Leverage strong OAM/FCAPS expertise to monitor, analyze, and address faults, performance degradations, configuration issues, and service-impacting events across customer deployments.
• Work closely with Engineering teams, customers, and L2/L3 support teams to manage escalations, support major releases, and continuously enhance troubleshooting methodologies, automation, and operational processes.
• Participate in a 24x7 rotational shift model, providing round-the-clock operational support for global customer deployments, critical incidents, and high-priority escalations.

Qualifications

Must have:

• Engineering Degree with 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 with proven experience in fault, configuration, performance, and service-impact analysis.
• Experience in Root Cause Analysis (RCA), log analysis, debugging, performance troubleshooting, and resolution of complex production issues.
• Good understanding of observability and monitoring technologies, including metrics, logs, traces, dashboards, and alerting systems.
• Experience working with Linux environments, databases, messaging systems (Kafka), and networking fundamentals in production deployments.
• Excellent customer-facing and escalation management skills, with experience collaborating across Engineering, Support, Operations, and Customer teams.

Good to have :

• Exposure to 4G/5G Core Networks, 3GPP standards, telecom network functions, and SNMP-based monitoring is highly desirable.

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Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

The length of the recruitment process may vary depending on the specific roles requirements. We strive to ensure a smooth and inclusive experience for all candidates.