Role Overview
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.
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)
Requirements
- Understanding of Moogsoft or similar event management/AIOps platforms
- 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)
- Exposure to AWS services (EC2, S3, RDS)
- Knowledge of Docker and containerized environments
- Basic understanding of Kubernetes concepts
Skills
- Kubernetes
- Linux
- SQL
- AWS
- Docker