Role Summary
We re seeking a Search Platform Engineer with strong Apache Solr experience (primary) and ELK stack. The role focuses on Solr platform support across non-prod and prod environments and ElasticSearch PoCs, ensuring performance, reliability, and secure operations.
Key Responsibilities
Apache Solr (Primary)
- Lead Solr administration across non-prod and prod environments.
- Operate SolrCloud (ZooKeeper, shards, replicas, leader election).
- Perform deep JVM tuning (heap/off-heap, GC, threads, caches).
- Diagnose and resolve search performance issues (CPU, GC, latency, throughput, memory leaks).
- Optimize high-volume indexing (commit strategies, merge policies).
- Enforce security and HA (TLS, RBAC, audits, zero-downtime upgrades).
ELK Stack (Secondary)
- Design and run Elasticsearch clusters for PoCs and production.
- Tune mappings, shards, JVM, and query DSL.
- Secure Elasticsearch using TLS and role-based access control.
- Implement observability and alerting (e.g., Prometheus, Grafana, Elastic).
- Platform Operations
- Execute capacity planning, benchmarking, and RCAs for search platforms.
- Ensure documentation, runbooks, and operational best practices.
Lucidworks Fusion (Preferred)
- Install, configure, and support Fusion (on-prem/cloud).
- Manage custom Fusion JARs, patches, and vendor-led upgrades.
- Build and tune ingestion and query pipelines.
- Troubleshoot Fusion/Spark and connector failures.
Required Skills (Must-Have)
- hands-on Apache Solr administration experience.
- Deep expertise with SolrCloud operations and JVM tuning.
- Strong troubleshooting skills for performance, indexing, and query optimization.
- Solid understanding of TLS, RBAC, HA, and zero-downtime upgrades.
- Experience supporting Lucidworks Fusion (installation, pipelines, upgrades).
- Secondary/Optional Skills (Good to Have)
- ELK stack administration: Elasticsearch (PoCs & production), Logstash/Kibana exposure.
- Observability tooling: Prometheus, Grafana, Elastic.
- Spark connectors and ingestion pipeline tuning.
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