Support Lead - Kubernetes

Bangalore, Karnataka

Job Summary

Experienced L1/L2 Support Engineer with strong expertise in production support, incident management, and AIOps/event monitoring platforms. Skilled in Linux troubleshooting, log analysis, and SQL, with hands\-on experience in identifying and resolving application, integration, and performance\-related issues. Proficient in handling end\-to\-end ticket lifecycle, root cause analysis, and ensuring SLA adherence. Familiar with REST APIs, messaging systems, and observability tools, with exposure to cloud and container technologies. A proactive team player with strong problem\-solving skills and a customer\-focused approach, capable of working effectively in a 24x7 support environment.

Key Responsibilities

Provide L1/L2 production support for the Moogsoft AIOps/event management platform

Monitor, triage, and resolve incidents across event ingestion, processing, and correlation layers

Perform UI validation, log analysis, and data ingestion verification for issue identification

Troubleshoot configuration, integration, database, and performance\-related issues

Classify issues (configuration, defect, or enhancement) and escalate appropriately

Collaborate with Development, SRE, and DevOps teams for faster resolution and service improvement

Handle customer tickets, provide timely updates, and ensure SLA adherence

Participate in incident management, RCA preparation, and continuous improvement initiatives

Support release validation and deployment activities

Work in rotational shifts and be flexible to operate outside IST timezone (24x7 support model)

Skill Requirements

Understanding of Moogsoft or similar event management/AIOps platforms (event ingestion, correlation, alerts, dashboards)

Strong Linux fundamentals and log analysis skills

Basic SQL knowledge (MySQL/MariaDB or similar databases)

Familiarity with REST APIs, SNMP, webhooks, and system integrations

Knowledge of messaging systems (Kafka/RabbitMQ) and event\-driven architecture

Exposure to monitoring and observability tools (Elasticsearch/OpenSearch, Grafana, Prometheus)

Basic scripting knowledge (Bash, JSON handling)

Cloud \& DevOps (Preferred)

Exposure to AWS services (EC2, S3, RDS)

Knowledge of Docker and containerized environments

Basic understanding of Kubernetes concepts

Support \& Operational Skills

Experience in incident management, ticket triage, and escalation handling

Strong troubleshooting and root cause analysis (RCA) capability

Ability to differentiate between configuration issues, product defects, and known issues

Experience supporting releases and deployment activities

Other Requirements

Strong analytical and problem\-solving skills

Good communication and stakeholder management

Customer\-focused approach with structured thinking

Ability to work in a fast\-paced, 24x7 support environment

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