Elasticsearch Administrator / Elasticsearch Engineer

Quess IT Solutions; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Quess IT Solutions is seeking an experienced Elasticsearch Engineer to administer, monitor, and optimize Elasticsearch clusters in production. You will work across ILM, backups, upgrades, and data ingestion pipelines with Logstash, Kibana, and Elastic Agents, in a Linux-based environment.

The role demands hands-on expertise (4+ years) in distributed cluster tuning, performance improvements, and incident resolution.

Qualifications

• 4+ years of dedicated hands-on Elasticsearch administration.
• Strong understanding of Elasticsearch architecture, distributed clusters, nodes, shards, and replicas.
• Experience in cluster health monitoring, performance optimization, troubleshooting, and capacity planning.
• Hands-on experience with ILM, snapshots, backups, retention, upgrades, and recovery.
• Experience with Logstash and data ingestion pipelines.
• Good knowledge of Linux and production troubleshooting.

Responsibilities

• Administer, monitor, and maintain Elasticsearch clusters in production environments.
• Monitor cluster health, node performance, storage utilization, shard allocation, and indexing/search performance.
• Perform cluster configuration, capacity planning, performance tuning, and troubleshooting.
• Manage Index Lifecycle Management (ILM), snapshots, backups, retention policies, and recovery procedures.
• Handle Elasticsearch upgrades, patching, cluster scaling, and node management.
• Configure and maintain Logstash pipelines for data ingestion and transformation.
• Manage Elastic Agents, Fleet Server, and integrations with Windows, Linux, and cloud environments.
• Work with Kibana for monitoring, troubleshooting, and operational visibility.
• Troubleshoot indexing failures, query latency, ingestion bottlenecks, and cluster stability issues.
• Collaborate with infrastructure, DevOps, security, and application teams to maintain reliable Elasticsearch services.

Skills

Elasticsearch administration

Cluster management

Performance tuning

ILM / backups

Logstash

Linux

Kibana

Tools

Kibana

Fleet Server

Elastic Agents

Job description

Job Description

We are looking for an experienced Elasticsearch Engineer with strong hands-on expertise in Elasticsearch cluster administration, monitoring, performance tuning, troubleshooting, and maintenance of distributed environments.

The ideal candidate should have at least 4 years of dedicated, hands-on experience in Elasticsearch administration, including cluster management, optimization, upgrades, backups, and production issue resolution.

Key Responsibilities

• Administer, monitor, and maintain Elasticsearch clusters in production environments.
• Monitor cluster health, node performance, storage utilization, shard allocation, and indexing/search performance.
• Perform cluster configuration, capacity planning, performance tuning, and troubleshooting.
• Manage Index Lifecycle Management (ILM), snapshots, backups, retention policies, and recovery procedures.
• Handle Elasticsearch upgrades, patching, cluster scaling, and node management.
• Configure and maintain Logstash pipelines for data ingestion and transformation.
• Manage Elastic Agents, Fleet Server, and integrations with Windows, Linux, and cloud environments.
• Work with Kibana for monitoring, troubleshooting, and operational visibility.
• Troubleshoot indexing failures, query latency, ingestion bottlenecks, and cluster stability issues.
• Collaborate with infrastructure, DevOps, security, and application teams to maintain reliable Elasticsearch services.

Mandatory Skills

• 4+ years of dedicated hands-on Elasticsearch administration.
• Strong understanding of Elasticsearch architecture, distributed clusters, nodes, shards, and replicas.
• Experience in cluster health monitoring, performance optimization, troubleshooting, and capacity planning.
• Hands-on experience with ILM, snapshots, backups, retention, upgrades, and recovery.
• Experience with Logstash and data ingestion pipelines.
• Good knowledge of Linux and production troubleshooting.

Good-to-Have Skills

• Kibana, Elastic Agents, Fleet Server, and Elastic integrations.
• Experience onboarding data from Windows/Linux systems and cloud platforms such as AWS, Azure, or GCP.
• ESQL, observability, security analytics, and dashboard configuration.
• Automation or scripting using Python, Bash, or similar tools.