Lead Platform Engineer (SRE) – Elasticsearch / ELK
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Job Description
We are looking for a Lead Platform Engineer (SRE) to serve as the Elasticsearch SME in a DevOps-driven environment. This role focuses on designing, scaling, and operating enterprise-grade Elastic platforms across cloud and on-prem environments.
🔧 Key Responsibilities
Architect and deploy scalable Elasticsearch / ELK solutions for search, logs, metrics & observability
Build and manage multi-node clusters (cloud & on-prem)
Performance tuning (queries, indexing, shard rebalancing)
Capacity planning, upgrades, patching & migrations
Automate infrastructure using Terraform / Ansible / Python / Bash
Integrate Elastic with CI/CD, Kubernetes, cloud-native services
Create runbooks, dashboards (Kibana), KPIs & troubleshooting guides
Lead POCs (ML, cross-cluster replication, resilience initiatives)
✅ Mandatory Skills
3–5+ years hands-on Elasticsearch / ELK administration at scale
Deep expertise in Elasticsearch architecture (nodes, shards, replicas, APIs)
Strong automation & scripting: Python, Bash, Ansible, Terraform
Experience with AWS / Azure / GCP
Kubernetes & Docker experience
Strong background in distributed systems, performance tuning & RCA
CI/CD experience (GitHub / GitLab)
Excellent communication & leadership skills
⭐ Nice to Have
Elastic Certified Engineer / Observability Engineer
AWS or Azure certifications
Experience migrating Elasticsearch from on-prem to cloud
Security & compliance monitoring experience
Background in SRE or Software Engineering
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