Elasticsearch ELK Platform Engineer - L1, L2 and Principal

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.- Strong 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 with guidance.

L2 Senior Elasticsearch Platform Engineer

• Independently manages enterprise Elasticsearch clusters.
• Designs Hot/Warm/Cold architectures, ILM policies, CCS/CCR, disaster recovery, and performance tuning.
• Builds and maintains CI/CD pipelines and OpenTelemetry-based observability solutions.
• Leads production troubleshooting and mentors junior engineers.

L3 Lead / Principal Elasticsearch Platform Engineer

• Owns the architecture of enterprise-scale Elasticsearch/OpenSearch platforms.
• Designs multi-cluster, multi-region deployments with high availability and disaster recovery.
• Leads zero/minimal downtime migration strategies (CCR, Dual Writes, Snapshot & Restore).
• Defines platform standards for observability, security, automation, Kubernetes, and SRE practices.
• Demonstrates strong technical leadership and drives architectural decisions across teams.