Platform Engineer

About the role

We’re seeking a Search Platform Engineer with strong Apache Solr experience (primary) and ELK stack knowledge to focus on Solr platform support across non-production and production environments, as well as ElasticSearch proof-of-concepts, ensuring performance, reliability, and secure operations.

Responsibilities

• Apache Solr (Primary)
  • Lead Solr administration across non-production and production environments.
  • Operate SolrCloud (ZooKeeper, shards, replicas, leader election).
  • Perform deep JVM tuning (heap/off-heap, garbage collection, 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 high availability (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 root cause analysis for search platforms.
  • Ensure documentation, runbooks, and operational best practices.
• Lucidworks Fusion (Preferred)
  • Install, configure, and support Fusion (on-premises/cloud).
  • Manage custom Fusion JARs, patches, and vendor-led upgrades.
  • Build and tune ingestion and query pipelines.
  • Troubleshoot Fusion/Spark and connector failures.

Requirements

• 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, high availability, and zero-downtime upgrades.
• Experience supporting Lucidworks Fusion (installation, pipelines, upgrades).

Skills

• 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.