Shift: EST / PST Clock from India
Work: Work From Home
Country: India
Job Description
Experience deploying and managing Elasticsearch on Kubernetes/OpenShift using Helm, StatefulSets, Persistent Volumes, and high-availability configurations.- Experience implementing Elastic Observability using OpenTelemetry, Elastic APM, distributed tracing, metrics, and centralized logging.- Strong understanding of cluster architecture, including Dedicated Master, Data, Ingest, Coordinating, ML, and Transform nodes.- Hands-on experience designing and operating enterprise Elasticsearch clusters with Hot/Warm/Cold architectures, ILM, shard allocation, and capacity planning.- Solid knowledge of Cross Cluster Search (CCS), Cross Cluster Replication (CCR), disaster recovery, snapshot lifecycle management, and multi-cluster architectures- Experience tuning Elasticsearch performance, including JVM optimization, shard sizing, mappings, query optimization, slow logs, and cluster health troubleshooting.- Experience designing and maintaining CI/CD deployment pipelines using FluxCD, Github Actions, Ansible,
or similar automation platforms.- Experience configuring Elastic Security, including TLS, RBAC, X-Pack/OpenSearch Security, authentication, and certificate management.- Strong troubleshooting and production support experience in mission-critical 247 environments, with expertise in root cause analysis, incident response, and platform reliability (SRE practices).- Hands-on programming knowledge in Python, Shell (Bash), and Grok scripting for automation, ETL/log parsing, infrastructure management, and observability platform operations.
Candidate Level Classification
L1 Elasticsearch Platform Engineer
- Able to operate and support existing Elasticsearch platforms.
- Good understanding of cluster fundamentals, ILM, node roles, and Kubernetes deployments.
- Can troubleshoot common production issues and develop automation using Python/Shell.
- Suitable for maintaining existing environments
📌 Elasticsearch ELK Platform Engineer (India)
🏢 iVedha
📍 India